28
Receiver Operator Characteristics What is it and where does it come from • Statistical aspects • Use of ROC

Receiver Operator Characteristics

Embed Size (px)

DESCRIPTION

Receiver Operator Characteristics. What is it and where does it come from Statistical aspects Use of ROC. Early radar signals. Is this an enemy plane?. Signal Noise Ratio. The problems of decision. Sound the alarm when the signal is very small Advantages - PowerPoint PPT Presentation

Citation preview

Page 1: Receiver Operator Characteristics

Receiver Operator Characteristics

• What is it and where does it come from

• Statistical aspects

• Use of ROC

Page 2: Receiver Operator Characteristics

Early radar signals

Is this an enemy plane?

Signal Noise Ratio

Page 3: Receiver Operator Characteristics

The problems of decision• Sound the alarm when the signal is very small

– Advantages• Plenty of time to get the fighters off the ground• Reduce the number of bombers reaching the target

– Disadvantages• Lots of false alarms• Waste of gasoline, wear and tear on fighter planes• Exhaust fighter pilots

• Sound the alarm when the signal is unmistakable– Advantages

• No waste, no wear and tear, no exhaustion

– Disadvantages• More bombers get through, more bombs, more destructions

Page 4: Receiver Operator Characteristics

Solution to decisions

• Code Yellow

– Signal suggests possible incoming bomber

– Pilots get dressed, fighter planes get loaded with gasoline and ammunition

• Code Orange

– Signal suggests incoming bomber likely

– Fighter planes towed to runway, pilots goes to the planes

• Code Red

– Signal is unmistakable

– Fighter planes take off

Page 5: Receiver Operator Characteristics

Receiver Operator Characteristics

False alarms

Sen

sitiv

ity

Useless operatorSensitivity and false alarm rate changes together

Perfect operator100% Sensitive0% false alarms

Most operators

Page 6: Receiver Operator Characteristics

Receiver Operator Characteristics

False alarms

Sen

sitiv

ityCode Yellow

Code Orange

Code Red

Increasingsignal

strength

Page 7: Receiver Operator Characteristics

False alarms

Sen

sitiv

ityCode Yellow

Code Orange

Code Red

Increasingsignal

strength

Receiver Operator Characteristics

Page 8: Receiver Operator Characteristics

Receiver Operator Characteristics

• What is it and where does it come from

• Statistical aspects

• Use of ROC

Page 9: Receiver Operator Characteristics
Page 10: Receiver Operator Characteristics
Page 11: Receiver Operator Characteristics
Page 12: Receiver Operator Characteristics
Page 13: Receiver Operator Characteristics
Page 14: Receiver Operator Characteristics
Page 15: Receiver Operator Characteristics
Page 16: Receiver Operator Characteristics

Statistical ROC• A measurement is normally distributed in two groups,

those outcome negative and those outcome positive

• Using a cut off level to make a decision will create a number of TP, FN, FP, and TN. From these Sensitivity and Specificity is calculated

• If the cut off value changes

– TP,FN,FP,TN changes

– Sensitivity and Specificity changes

• The relationship between Sensitivity and Specificity over the range of the measurement defines the ROC

Page 17: Receiver Operator Characteristics

Statistical ROC

Page 18: Receiver Operator Characteristics
Page 19: Receiver Operator Characteristics
Page 20: Receiver Operator Characteristics
Page 21: Receiver Operator Characteristics

Receiver Operator Characteristics

• What is it and where does it come from

• Statistical aspects

• Use of ROC

Page 22: Receiver Operator Characteristics

Advantages of using ROC

• It defines the quality of a test or prediction using a measurement without specifying a cut off value for decision making

• Assuming Normal distribution– The mean and Standard Error can be estimated

– The 95% CI can be estimated

– Statistical significance can be determined

– Whether one test is better than another can be determined

Page 23: Receiver Operator Characteristics

23

چهار ترکیب ممکن برای تصمیم و خطا

درص�د افراد غی�ر مبتال که مدل :FPمثب�ت نادرس�ت•داده تشخیص مبتال را آنه�ا اشتباه ب�ه تص�میم

است.نادرس�ت• :FNمنف�ی� مدل که مبتال افراد درص�د

تص�میم ب�ه اشتباه آنه�ا را غیرمبتال تشخیص داده .است

:TNمنف�ی درس�ت• مبتال که افرادی غی�ر در ص�د مدل تصمیم به درستی آن را تشخیص داده است.

درص�د افرادی ک�ه بیماری دارند :TPمثب�ت درس�ت•داده تشخیص را آ�ن درس�تی ب�ه تص�میم مدل و

است.

TP+FN=100%FP+TN=100%

هدف مدل تصمیم حداقل کردن

)FN وFP (خطاهاست

Page 24: Receiver Operator Characteristics

24

نکته

و FNدرص�د FP مستقل ص�ورت ب�ه شود حداقل نمی

افزای�ش م�ی یابد و FN ک�م شود FPاگ�ر برعکسمی ROCنمودار پیدا را بهین�ه مقدار

کند.

Page 25: Receiver Operator Characteristics

25

:مثال

است. افراد در باال خون فشار تشخی�ص هدف سه در افراد خون فشار کار ای�ن انجام برای

گیری می شود. گروه فرضی اندازه

اند. - جمعیت سالم که تحت مراقبت قرار گرفته1- جمعی�ت بیماران مشمول مراقب�ت اولی�ه ک�ه به 2

خاطر شکایات جزئی تحت بررسی هستند.بستری 3 قلب�ی بخ�ش در ک�ه بیماران�ی - جمعی�ت

هستند.

Page 26: Receiver Operator Characteristics

26

Page 27: Receiver Operator Characteristics

27

ROC رسم منحنی

Page 28: Receiver Operator Characteristics