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PSCORE training

Propensity Score

The Propensity Score matching technique is used to make observational data "similar" to randomized data. It is useful for numerous cases and with numerous explanatory variables.

​Objectives:

Using the logistic regression model, estimate the parameters that explain the variability of dichotomous or multinomial dependent variables. The estimated parameters are odds ratios.

 

Techniques presented:

Contingency tables, risk coefficients (relative risk, odds ratio), logistic regression, multinomial regression.

Tutorials:

There are exercises for each of the topics covered.

 

Prerequisites:

Attending the TSC course or having knowledge of the topics it contains is preparatory.

It is advisable to attend the REG course.

 

Subjects:

Contingency tables

The risk indices:

  • Relative risk

  • odds ratio

  • Hazard Ratio

The logistic regression model:

  • Binomial

  • Multinomial

The propensity score:

  • Its purposes

  • The different ways of  application

  • The different types of matching

  • How to analyze matched data

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