How many dependent

variables does your model have ?

What is the nature of the dependent

variable

Are the explanatory variables continuous?

Multivariate Models

Select Count Data Models

How many levels does your categorical response variable have?

Count

>1

1

Censored

SurvivalRelated

Yes

Yes

No

Yes

No

No

No

>2

2

>1 Factor

Truncated

Yes

Continuous

Categorical

Also known as univariate models

Dependent / responsevariables represent the output or effect

Are the levels of the categorical dependent

variable ordered?

How many factors are consideredin the model?

Which one is it?

TruncatedRegressioin models

Censored Regression Models

Ordered

Multinomial

Binary Choice Model

Factorial Anova

One Way Anova Main Effects

Duration Models

Linear Regression Models

How to choose aSTATISTICAL MODEL

AKA INPUTS

Also known as multiresponse models

In these models, more than 1 dependent variables

are modelled jointly.

These models are used when the dependentvariable represents a discrete count. Thus, it takes integer values greater than or equal to zero. E.G. THE NEGATIVE BINOMIAL OR POISSON MODELS

Is the dependent variable truncated or censored?

The effect of each of the factorial independent variables is considered separately.

This ANOVA is used only when the effect of one factorial explanatory variable is considered.

These models are used when both the dependent and independent variables are continuous.

These models are used to model the time individuals are in a state before a certain event takes place. For certain individuals the event might not have yet taken place when the analysis is done.

Some of the values of the dependent variable beyond a certain threshold are not available. The values of independent variables for these observations are available.

These models consider the effectof interaction between the factorial independent variables along with their individual effects.

These models are used when the dependent variable takes only two values.e.g. LOGIT OR PROBIT MODELS

These models are used when there is no clear ordering among the levels of the response variable.

These models are used when there is a clear ordering among the levels of the response variable.

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1 Factor

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The some values of dependent variables are excluded based on some threshold. Values of neither the dependent nor the independent variable are available.

Does the interactionbetween the factorshold importance inyour model?

Yes

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