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Design of Observational and Design of Observational and Experimental Clinical Studies Experimental Clinical Studies Skamania ICSSC 2007 Skamania ICSSC 2007 Kenneth F. Schulz, PhD Kenneth F. Schulz, PhD

Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

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Page 1: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Design of Observational and Design of Observational and Experimental Clinical StudiesExperimental Clinical Studies

Skamania ICSSC 2007Skamania ICSSC 2007

Kenneth F. Schulz, PhDKenneth F. Schulz, PhD

Page 2: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Epidemiology:Epidemiology:

The study of epidemics and The study of epidemics and epidemic diseases.epidemic diseases.

StedmanStedman’’s Medical Dictionarys Medical Dictionary

Page 3: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Epidemiology:Epidemiology:

The science of making the The science of making the obvious obscure.obvious obscure.

EpidemiologistEpidemiologist

Page 4: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Epidemiology:Epidemiology:

The worstThe worst--taught course in taught course in medical school.medical school.

Anonymous Med StudentAnonymous Med Student

Page 5: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Epidemiology:Epidemiology:

The study of skin diseases.The study of skin diseases.

North Carolina NativeNorth Carolina Native

Page 6: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

EpidemiologyEpidemiology

More than statistics; biostatistics; medical More than statistics; biostatistics; medical science science -- a specific research methodologya specific research methodology

““MethodsMethods”” conjures up what images?conjures up what images?

Has a bad rap Has a bad rap -- really fun and exhilaratingreally fun and exhilarating

Part of the interest is that sometimes it runs Part of the interest is that sometimes it runs counter to intuitioncounter to intuition

Page 7: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Epidemiology of AIDS Before HIVEpidemiology of AIDS Before HIV

Risk groups identifiedRisk groups identifiedMSMMSMBlood recipientsBlood recipientsIVDUIVDU

>> 100 partners/year (implying that 99 100 partners/year (implying that 99 are safeare safe……))

Anal receptive intercourse/fistAnal receptive intercourse/fist

Not using condomsNot using condoms

Page 8: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

AIDS Prevention Before HIVAIDS Prevention Before HIV

Exclusion of risk groups from blood Exclusion of risk groups from blood donationdonation

Education/recommendations on the Education/recommendations on the risk factorsrisk factors

Page 9: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

AIDS Prevention Before HIV: EffectsAIDS Prevention Before HIV: Effects

Transfusion associated, Transfusion associated, transmission droppedtransmission dropped

In certain areas, risk factor In certain areas, risk factor transmission dropped, witness the transmission dropped, witness the 90% reduction in syphilis in San 90% reduction in syphilis in San FranciscoFrancisco

Supported by subsequent HIV analysis Supported by subsequent HIV analysis of banked bloodof banked blood

Page 10: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Bacterial Vaginosis and Bacterial Vaginosis and Prematurity in Indonesia*Prematurity in Indonesia*

Association between bacterial Association between bacterial vaginosis diagnosed at 16 to 20 vaginosis diagnosed at 16 to 20 weeks and preterm deliveryweeks and preterm delivery (gestational (gestational age <37 weeks)age <37 weeks)

OR = 2.0; OR = 2.0; 95% CI95% CI 1.0 1.0 -- 3.93.9

Above OR adjusted for motherAbove OR adjusted for mother’’s age, s age, education, smoking and education, smoking and TTrichomonasrichomonas

*Joesoef et al. Am J Obstet Gynecol 1993;169:175*Joesoef et al. Am J Obstet Gynecol 1993;169:175--8.8.

Page 11: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Bacterial Vaginosis and Bacterial Vaginosis and Prematurity in IndonesiaPrematurity in Indonesia** (cont.)(cont.)

““Only bacterial vaginosis diagnosed Only bacterial vaginosis diagnosed early in the second trimester of early in the second trimester of pregnancy plays a major role as a pregnancy plays a major role as a risk factor for preterm deliveryrisk factor for preterm delivery””

Clindamycin vaginal cream Clindamycin vaginal cream -- an an effective treatmenteffective treatment

*Joesoef et al. Am J Obstet Gynecol 1993;169:175*Joesoef et al. Am J Obstet Gynecol 1993;169:175--8.8.

Page 12: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Begin Program in Indonesia?Begin Program in Indonesia?

PPEPPE

Corollary to PPE: SECorollary to PPE: SE

Conduct an RCTConduct an RCT

Page 13: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Intravaginal Clindamycin for BV: Intravaginal Clindamycin for BV: Effects on Preterm Delivery and LBWEffects on Preterm Delivery and LBW**

OutcomeOutcome ClindamycinClindamycin PlaceboPlacebo OR (95% CI)OR (95% CI)

Preterm (<37)Preterm (<37) 15.0%15.0% 13.5%13.5% 1.1 (0.7 1.1 (0.7 -- 1.7)1.7)Preterm (<32)Preterm (<32) 4.7%4.7% 2.6%2.6% 1.8 (0.8 1.8 (0.8 -- 4.2)4.2)LBW (<2500gm)LBW (<2500gm) 9.0%9.0% 6.8%6.8% 1.3 (0.8 1.3 (0.8 -- 2.4)2.4)

**Joesoef et al. Am J Obstet Gynecol 1995; 173:1527Joesoef et al. Am J Obstet Gynecol 1995; 173:1527--31.31.

Page 14: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Types of Epidemiologic StudiesTypes of Epidemiologic Studies

Observational:Observational: ““natural experiencenatural experience””Descriptive:Descriptive:•• like newspaper reportinglike newspaper reporting•• has no control or comparison grouphas no control or comparison group

Analytic:Analytic:•• has a control or comparison grouphas a control or comparison group

Experimental:Experimental: investigator controlsinvestigator controls•• has an exposed or experimental group plus a has an exposed or experimental group plus a control or comparison group determined by control or comparison group determined by investigatorinvestigator

com

plex

ityco

mpl

exity

Page 15: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

During the Emergence of Modern During the Emergence of Modern EpidemiologyEpidemiology (around 1950)(around 1950)

Sir Austin Bradford Hill, Sir Richard Doll Sir Austin Bradford Hill, Sir Richard Doll and colleagues conducted:and colleagues conducted:

A caseA case--control study of lung cancercontrol study of lung cancer

A cohort study of smoking and lung cancerA cohort study of smoking and lung cancer

The first RCT in medicine, streptomycin for The first RCT in medicine, streptomycin for treatment of TBtreatment of TB

Page 16: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Descriptive StudiesDescriptive Studies

Estimate frequencyEstimate frequency

Time trendTime trend

Generate more specific etiologic Generate more specific etiologic hypotheseshypotheses

Page 17: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Observational Analytic StudiesObservational Analytic Studies

CohortCohort ExposureExposure

Exposed Outcome?

Not Exposed Outcome?

CaseCase--ControlControl OutcomeOutcome

Exposed? Outcome

Exposed? Control

Page 18: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

The FutureThe Future

Outcome

Outcome

No Outcome

No Outcome

Prospective Cohort DesignProspective Cohort Design

The PresentThe Present

Exposure present

Exposure absent

SampleSample

Population

Page 19: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

The FutureThe Future

Death

Death

No Death

No Death

Example of a Prospective Cohort Design: Example of a Prospective Cohort Design: Treatment of Severe Malaria in ChildrenTreatment of Severe Malaria in Children

The PresentThe Present

SampleSample

PTX present

PTX absent

Population

Page 20: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

CaseCase--Control DesignControl Design

The Past or PresentThe Past or Present The PresentThe Present

ExposureExposure

presentpresent

ExposureExposure

presentpresent

SampleSampleof casesof cases

Population Population with with

disease disease (cases)(cases)

SampleSampleof controlsof controls

Much larger Much larger population population

without without disease disease

(controls)(controls)

NoNoOutcomeOutcome

OutcomeOutcome

ExposureExposure

absentabsent

ExposureExposure

absentabsent

Page 21: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Example of CaseExample of Case--Control Design: Use ofControl Design: Use ofBednets and Severe Malaria in ChildrenBednets and Severe Malaria in Children

The Past or PresentThe Past or Present The PresentThe Present

Population Population with with

disease disease (cases)(cases)

Much Much larger larger

population population without without disease disease

(controls)(controls)

No Severe No Severe MalariaMalaria

Severe Severe MalariaMalaria

BednetsBednetsabsentabsent

BednetsBednetsabsentabsent

BednetsBednetspresentpresent

BednetsBednetspresentpresent

SampleSampleof casesof cases

SampleSampleof controlsof controls

Page 22: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

RCT PARADIGMRCT PARADIGM

Population of InterestPopulation of Interest

Sample (Subset)Sample (Subset)

Outcome AssessmentOutcome Assessment

UnexposedUnexposed ExposedExposed

RandomizeRandomizeOther Other Allocation Allocation Approach?Approach?

Page 23: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

RCT PARADIGMRCT PARADIGM

Population of InterestPopulation of InterestChild Child <<5 year presenting at 5 year presenting at hospital with severe malariahospital with severe malaria

RandomizeRandomize

PTXPTX PlaceboPlacebo

Outcome AssessmentOutcome AssessmentDeath within 7 daysDeath within 7 days

Page 24: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Cohort StudiesCohort Studies

Incidence Incidence -- Incidence can be derivedIncidence can be derived

Prospective Prospective -- Study group is followed Study group is followed forward in timeforward in time

Longitudinal Longitudinal -- Study participants are Study participants are individually followedindividually followed

Also called:Also called:

Page 25: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Example of a Prospective Cohort Design: Example of a Prospective Cohort Design: Treatment of Severe Malaria in ChildrenTreatment of Severe Malaria in Children

The PresentThe Present The FutureThe Future

NoNoDeathDeath

SampleSample

PopulationPopulationDeathDeath

NoNoDeathDeathDeathDeath

PTXPTXPresentPresent

PTXPTXabsentabsent

Page 26: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

In a cohort study, the outcome has In a cohort study, the outcome has not occurred when the study is not occurred when the study is started usuallystarted usually……

Retrospective cohort studies are Retrospective cohort studies are possiblepossible

Page 27: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Bias: Cohort Compared toBias: Cohort Compared toCaseCase--ControlControl

Prospective cohort studies avoid two Prospective cohort studies avoid two of the most potent causes of bias in the of the most potent causes of bias in the casecase--control studiescontrol studies

Selection bias in the control groupSelection bias in the control groupAscertainment bias in measuring Ascertainment bias in measuring exposureexposure

Generally, cohort designs are stronger Generally, cohort designs are stronger than casethan case--controlcontrol

Page 28: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Additional Advantages of Additional Advantages of Cohort StudiesCohort Studies

Because potential causative factors are Because potential causative factors are measured before the outcome occurs, a measured before the outcome occurs, a cohort study can establish that they cohort study can establish that they preceded outcomepreceded outcome

Page 29: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Minimize Losses to FollowMinimize Losses to Follow--upup

Must minimize lossesMust minimize losses

Address procedures for minimizing Address procedures for minimizing losses later in the weeklosses later in the week

Page 30: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Strategies Proffered for Dealing Strategies Proffered for Dealing with Lostwith Lost--toto--FollowFollow--UpUp

ReRe--double your efforts to obtain double your efforts to obtain information from a sample of lostinformation from a sample of lost--toto--followfollow--up (LFU)up (LFU)

Compare characteristics at baseline in Compare characteristics at baseline in those LFU with those not LFUthose LFU with those not LFU

Best approach:Best approach: Do not have any LFUDo not have any LFU

Page 31: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Ascertainment BiasAscertainment Bias(Information Bias)(Information Bias) PotentialPotential

Since exposure is likely known by Since exposure is likely known by both the participants and study both the participants and study investigators, danger of diagnosis investigators, danger of diagnosis of outcome being influenced by of outcome being influenced by exposure class.exposure class.

Page 32: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Minimize Ascertainment Bias in Cohort Minimize Ascertainment Bias in Cohort Studies Studies -- Determination of OutcomesDetermination of Outcomes

ConsistentConsistent

Equal for all exposure groupsEqual for all exposure groups

Establish explicit, objective criteriaEstablish explicit, objective criteria

Outcomes should be assessed Outcomes should be assessed blindly, if possibleblindly, if possible

Page 33: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

15%15%45%45%

RR =RR = = 0.33= 0.33

CONFOUNDINGCONFOUNDING

8585

1515

5555

4545YesYes

NoNo

PTXPTX PTXPTX

DeathDeath

100100 100100

Page 34: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Confounding Bias OccurConfounding Bias Occur

Not hypotheticalNot hypotheticalOccurs in both cohort and caseOccurs in both cohort and case--controlcontrolConfounding is confusing and needs Confounding is confusing and needs

convincingconvincingPlay with numbersPlay with numbersSee page 37 See page 37

Page 35: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

In this example you suspect:In this example you suspect:

SES is strongly associated with SES is strongly associated with both PTX and death, both PTX and death,

i.e., i.e., SES is a ConfounderSES is a Confounder

Page 36: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

8181

99

2727

33YesYes

NoNo

PTXPTX PTXPTX

DeathDeath

9090 3030

10%10%10%10%

RR =RR = = 1.0= 1.0

High SESHigh SES

44

66

2828

4242YesYes

NoNo

PTXPTX PTXPTX

1010 7070

60%60%60%60%

RR =RR = = 1.0= 1.0

Low SESLow SES

DeathDeath

Page 37: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Advantages of Cohort StudiesAdvantages of Cohort Studies

Efficient with higher incidence (approx. > 20%)Efficient with higher incidence (approx. > 20%)

Excellent for studying rare exposuresExcellent for studying rare exposures

Less opportunity for selection bias and Less opportunity for selection bias and ascertainment bias than caseascertainment bias than case--control studiescontrol studies

Clear temporal sequence of exposure and Clear temporal sequence of exposure and outcomeoutcome

Obtain incidence rates and relative risk Obtain incidence rates and relative risk

Yields more understandable information than cYields more understandable information than c--cc

Page 38: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Disadvantages of Cohort StudiesDisadvantages of Cohort Studies

Contains selection bias and probably more Contains selection bias and probably more ascertainment bias than an RCTascertainment bias than an RCTWith rare outcomes, large sample sizes and With rare outcomes, large sample sizes and relatively expensive to conductrelatively expensive to conductLongLong--term followterm follow--up difficult when the up difficult when the latency period for the outcome is longlatency period for the outcome is longFollowFollow--up may be difficult up may be difficult ---- losses affect losses affect resultsresultsExposure status may change during studyExposure status may change during study

Page 39: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

At a minimum for a cohort study, address At a minimum for a cohort study, address in the protocol:in the protocol:

Entry criteriaEntry criteriaDefinitions of the exposure groups Definitions of the exposure groups (comparison groups) [and implications for (comparison groups) [and implications for selection bias]selection bias]The planned procedures to achieve The planned procedures to achieve retention and followretention and follow--up of participantsup of participantsSelection and measurement of potential Selection and measurement of potential confounding factorsconfounding factorsEndpoint: Next sessions (Methods to ascertain Endpoint: Next sessions (Methods to ascertain outcomes, including blinding procedures, if any)outcomes, including blinding procedures, if any)

Page 40: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Example of a CaseExample of a Case--Control Design: Use Control Design: Use Bednets and Severe Malaria in ChildrenBednets and Severe Malaria in Children

The Past or PresentThe Past or Present The PresentThe Present

Population Population with with

disease disease (cases)(cases)

Much Much larger larger

population population without without disease disease

(controls)(controls)

No Severe No Severe MalariaMalaria

Severe Severe MalariaMalaria

BednetsBednetsabsentabsent

BednetsBednetsabsentabsent

BednetsBednetspresentpresent

BednetsBednetspresentpresent

SampleSampleof casesof cases

SampleSampleof controlsof controls

Page 41: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

COHORTCOHORT

TROHOCTROHOC

Page 42: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

CaseCase--Control StudyControl Study

Rare diseasesRare diseasesDisease with long latency periodDisease with long latency period

Fewer subjectsFewer subjects

Less ExpensiveLess Expensive

Quicker to completeQuicker to complete

Evaluate multiple exposuresEvaluate multiple exposures

StrengthsStrengths::

Page 43: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

10001000

1515

20002000

1010EE EE

No No DiseaseDisease

10151015 20102010

CaseCase--Control StudyControl Study

DiseaseDisease 2525

30003000

30253025

1010

1515

2020

1010EE EE

Controls Controls No DiseaseNo Disease

2525 3030

CasesCasesDiseaseDisease 2525

3030

5555

Cohort StudyCohort Study

Why Is A CaseWhy Is A Case--Control Study Efficient?Control Study Efficient?

Page 44: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Study Size = 3025Study Size = 3025

Why Is A CaseWhy Is A Case--Control Study Efficient?Control Study Efficient?

RR = 3.0RR = 3.0 95% CI (1.4 95% CI (1.4 -- 6.3)6.3) p = .005 p = .005

Cohort StudyCohort Study

Analogous CaseAnalogous Case--Control StudyControl Study

Study Size = 55Study Size = 55

OR = 3.0OR = 3.0 95% CI (1.0 95% CI (1.0 -- 9.0)9.0) p = .05 p = .05

Page 45: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

1010

1515

2020

1010EE EE

CasesCases

CaseCase--Control ExamplesControl Examples

ControlsControls

2525

3030

# Controls# Controls

3030

6060

9090

120120

OROR

3.03.0

3.03.0

3.03.0

3.03.0

95% C.I.95% C.I.

.87 .87 -- 10.610.6

1.04 1.04 -- 8.88.8

1.10 1.10 -- 8.38.3

1.14 1.14 -- 8.08.0

Page 46: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Greater Chance of Bias inGreater Chance of Bias inCaseCase--Control StudiesControl Studies

All of the relevant events, disease and All of the relevant events, disease and exposure, have already occurred when exposure, have already occurred when the study beginsthe study begins

Two potent sources of biasTwo potent sources of biasBias in ascertaining exposureBias in ascertaining exposure

Selection of a control groupSelection of a control group

Page 47: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Bias in CaseBias in Case--Control StudiesControl Studies

Information is gathered differently from cases Information is gathered differently from cases and controlsand controlsDifference related to risk factorDifference related to risk factorRecall bias is most commonRecall bias is most common

Cases and controls are selected differentlyCases and controls are selected differentlyDifference in selection is related to risk factorDifference in selection is related to risk factor

Selection BiasSelection Bias

Information BiasInformation Bias

Page 48: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Ascertainment Bias in Ascertainment Bias in CaseCase--Control StudiesControl Studies

Data collectors and participants can be Data collectors and participants can be prejudiced by knowledge of outcomeprejudiced by knowledge of outcome

especially if associations are allegedespecially if associations are alleged

Try to ascertain exposure in an Try to ascertain exposure in an unbiased mannerunbiased manner

blindingblindingvisual aids to stimulate memoryvisual aids to stimulate memory

Page 49: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

CaseCase--Control StudyControl Study

Define objective criteria for reliable diagnosis Define objective criteria for reliable diagnosis of diseaseof disease

Know what population you are selecting Know what population you are selecting cases fromcases from

clinic, hospital, etc.clinic, hospital, etc.

population basedpopulation based

Case Definition:Case Definition:

Page 50: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

CaseCase--Control Study Control Study (cont.)(cont.)

Free of disease being studiedFree of disease being studied

Selection must be independent of exposure Selection must be independent of exposure being studiedbeing studied

Controls should represent the population from Controls should represent the population from which cases were selectedwhich cases were selected

Matching is not what it seems! Generally it is Matching is not what it seems! Generally it is better not to match.better not to match.

Control Selection:Control Selection:

Page 51: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

CaseCase--Control Study of Risk Factors Control Study of Risk Factors for AIDSfor AIDS

MSM AIDS cases diagnosed in San MSM AIDS cases diagnosed in San Francisco during 1983Francisco during 1983--19841984

MSM STD clinic patientsMSM STD clinic patientsMSM from same neighborhood as casesMSM from same neighborhood as cases

Case Selection:Case Selection:

2 Control Groups:2 Control Groups:

Page 52: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

STD Clinic Controls (HIVSTD Clinic Controls (HIV--))OR = 2.9OR = 2.9

Neighborhood Controls (HIVNeighborhood Controls (HIV--))OR = 52.0OR = 52.0

Reference: Moss et. al. Am J Reference: Moss et. al. Am J EpidemiolEpidemiol 1987;125: 10351987;125: 1035--47.47.

> 100> 100PartnersPartnersPer YearPer Year

AIDSAIDSCasesCases

0 0 -- 55PartnersPartnersPer YearPer Year

ControlsControls

Page 53: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

200200

100100

1,000,0001,000,000

100,000100,000EE EE

00

300300 1,100,0001,100,000

00

Study PopulationStudy Population

•• Is a caseIs a case--control study always efficient?control study always efficient?

•• Can a cohort study be more efficient?Can a cohort study be more efficient?

Page 54: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

2020

1010

100,000100,000

10,00010,000EE EE

00

10,01010,01000

CaseCase--ControlControl

100,020100,020

Low Low Incidence of Incidence of ExposureExposure

Page 55: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

2020

1010

100100

1010EE EE

00

00

Cohort StudyCohort Study

30 11030 110

High High Outcome Outcome IncidenceIncidence

Page 56: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Advantages of CaseAdvantages of Case--Control StudiesControl Studies

CaseCase--control studies are useful and control studies are useful and efficient for studying low frequency efficient for studying low frequency outcomes (i.e. approx. <5%)outcomes (i.e. approx. <5%)CaseCase--control studies are useful for control studies are useful for studying health problems with a long studying health problems with a long latent intervallatent intervalWith rare outcomes, caseWith rare outcomes, case--control control studies are less time consuming and studies are less time consuming and less expensive than cohort studiesless expensive than cohort studies

Page 57: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Disadvantages of CaseDisadvantages of Case--Control Studies Control Studies Easier to Do . . . . . . .WrongEasier to Do . . . . . . .Wrong

Prone to more selection bias than cohort Prone to more selection bias than cohort studies: control group selection difficultstudies: control group selection difficultProne to more ascertainment bias than Prone to more ascertainment bias than cohort: incomplete records or recall biascohort: incomplete records or recall biasCannot determine incidence ratesCannot determine incidence ratesBy definition, pertinent to one outcomeBy definition, pertinent to one outcomeCannot observe temporality of associationCannot observe temporality of association

Page 58: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

At a Minimum, for a CaseAt a Minimum, for a Case--Control Control Study, in the Protocol IncludeStudy, in the Protocol Include

Definition of casesDefinition of casesSelection of the control group(s) [implications Selection of the control group(s) [implications for selection bias]for selection bias]Selection and measurement of potential Selection and measurement of potential confounding factorsconfounding factorsAnalogous endpoint: The ascertainment of Analogous endpoint: The ascertainment of exposure and the related procedures to exposure and the related procedures to minimize ascertainment bias (including whether minimize ascertainment bias (including whether any blinding would be attempted)any blinding would be attempted)

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Randomized Controlled TrialsRandomized Controlled Trials

The methodologic standard The methodologic standard of excellence for scientific of excellence for scientific experimentsexperiments

Page 60: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Epidemiologic Study DesignsEpidemiologic Study Designs

CohortCohort

CaseCase--ControlControl

Randomized Controlled (Clinical) Trials Randomized Controlled (Clinical) Trials (RCT)(RCT)

ExposureExposure OutcomeOutcome

OutcomeOutcome ExposureExposure

Page 61: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

RCT PARADIGMRCT PARADIGM

Population of InterestPopulation of InterestChild Child <<5 year presenting at 5 year presenting at hospital with severe malariahospital with severe malaria

RandomizeRandomize

PTXPTX PlaceboPlacebo

Outcome AssessmentOutcome AssessmentDeath within 7 daysDeath within 7 days

Page 62: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

COHORTCOHORT

TROHOCTROHOC

RANDOMIZEDRANDOMIZED

DEZIMODNARDEZIMODNAR

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Assures ComparabilityAssures Comparability

In observational studies, statistical In observational studies, statistical methods allow investigators to methods allow investigators to control for confounding factorscontrol for confounding factors

Must be measured (ABLE)Must be measured (ABLE)

Page 64: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Assures Comparability Assures Comparability (cont.)(cont.)

NoNo statistical method can achieve statistical method can achieve comparability on unknown or comparability on unknown or unmeasured factors in analysis phaseunmeasured factors in analysis phase

Random allocation is the Random allocation is the onlyonly known known method to assure comparability method to assure comparability

Page 65: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Comparison of Results from Comparison of Results from Cohort Study and RCTCohort Study and RCT

Intervention: Exercise in men after M.I.Intervention: Exercise in men after M.I.

Outcome: Recurrent M.I.Outcome: Recurrent M.I.

Cohort: RR = .38 95% CI (0.18 Cohort: RR = .38 95% CI (0.18 -- 0.80) p = .0060.80) p = .006

RCT:RCT: RR = 1.3 95% CI (0.73 RR = 1.3 95% CI (0.73 -- 2.2) p = .202.2) p = .20

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RCTsRCTs NonNon--RandomRandom(57)(57) (43)(43)

Difference inDifference in 8.8%8.8% 58% 58% casecase--fatalityfatalityrates at p < 0.05rates at p < 0.05

Results favoredResults favored 60%60% 93%93%treatment overtreatment overcontrols (p < 0.05)controls (p < 0.05)

Mean differences inMean differences in 0.3%0.3% 10.5%10.5%the casethe case--fatality ratesfatality rates ++0.8%0.8% ++1.7%1.7%

(p > 0.05)(p > 0.05) (p < 0.001)(p < 0.001)

Trials of the Treatment of Acute M.I.Trials of the Treatment of Acute M.I.

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Hormone Replacement and Therapy Hormone Replacement and Therapy Coronary Heart Disease (CHD)Coronary Heart Disease (CHD)

Hormones decrease risk of CHD by 35% to Hormones decrease risk of CHD by 35% to 50%, according to 3 different meta50%, according to 3 different meta--analysis analysis of numerous observational studiesof numerous observational studies

Especially strong for secondary prevention Especially strong for secondary prevention in women with CHDin women with CHD

Page 68: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Experimentation Trumps ObservationExperimentation Trumps Observation

RCT of hormoneRCT of hormone--therapy for secondary therapy for secondary presentation of CHDpresentation of CHD

Relative hazard = 0.99; 95% CI 0.80 Relative hazard = 0.99; 95% CI 0.80 -- 1.221.22

No effect of hormone therapyNo effect of hormone therapy

Recent WomenRecent Women’’s Health Initiative RCT in s Health Initiative RCT in healthy women healthy women (JAMA 2002; 288: 321(JAMA 2002; 288: 321--333)333)

CHD: HR=1.29; 95% CI 1.02CHD: HR=1.29; 95% CI 1.02--1.63)1.63)

Page 69: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Chemotherapy for Carcinoma of the Chemotherapy for Carcinoma of the EsophagusEsophagus**

A metaA meta--analysis of 8 nonanalysis of 8 non--randomized randomized studies found a studies found a 68%68% reduction in reduction in death death (OR=0.32, 95% CI 0.24 (OR=0.32, 95% CI 0.24 -- 0.42)0.42)

A metaA meta--analysis of 12 RCTs found a analysis of 12 RCTs found a 4%4% reduction in deathreduction in death

(OR=0.96, 95% CI 0.75 (OR=0.96, 95% CI 0.75 -- 1.22)1.22)

**Bhansali et al. Ann Oncol 1996;7:355Bhansali et al. Ann Oncol 1996;7:355--9.9.

Page 70: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Systematic Review of Randomized vs Systematic Review of Randomized vs NonNon--Randomized EvidenceRandomized Evidence**

On average, nonOn average, non--randomized studies randomized studies result in overestimates of effectresult in overestimates of effect

That bias can, however, go in either That bias can, however, go in either directiondirection

That bias can be as large or larger than That bias can be as large or larger than the effects of worthwhile interventionsthe effects of worthwhile interventions

**Kunz R. and Oxman AD. BMJ 1998;317:1185Kunz R. and Oxman AD. BMJ 1998;317:1185--90.90.

Page 71: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Randomized Trials Require Randomized Trials Require Methodological RigorMethodological Rigor

Improperly conducted RCTs yield biased Improperly conducted RCTs yield biased resultsresults

Researchers must devote assiduous Researchers must devote assiduous attention to design and conduct of RCTsattention to design and conduct of RCTs

Only properly conducted RCTs will fulfill Only properly conducted RCTs will fulfill their promise of minimizing biastheir promise of minimizing bias

Separate presentation later in the weekSeparate presentation later in the week

Page 72: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Advantages of Randomized TrialsAdvantages of Randomized Trials

First and foremost, the only effective First and foremost, the only effective method known to control selection biasmethod known to control selection bias

Controls confounding biasControls confounding bias

Facilitates effective blinding in some Facilitates effective blinding in some trialstrials

Theoretically attractive Theoretically attractive --many statistical many statistical methods assume random assignmentmethods assume random assignment

Maintains advantages of cohort studies Maintains advantages of cohort studies

Page 73: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Disadvantages of Randomized TrialsDisadvantages of Randomized Trials

May be complex and expensiveMay be complex and expensive

Difficult and expensive with low Difficult and expensive with low incidence outcomes.incidence outcomes.

May lack May lack representativenessrepresentativeness --volunteers may differ from population volunteers may differ from population of interestof interest

Ethical challenges of experimental Ethical challenges of experimental researchresearch

Sometimes impossible or impractical Sometimes impossible or impractical

Page 74: Design of Observational and Experimental Clinical … of Observational and Experimental Clinical Studies Skamania ICSSC 2007 Kenneth F. Schulz, PhD Epidemiology: The study of epidemics

Randomized Controlled TrialsRandomized Controlled Trials

Indeed, the methodological Indeed, the methodological standard of excellencestandard of excellence

Thank YouThank You