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Course dedicated to Propensity Score matching 

To request registration or for information


Make participants able to use the propensity score, a statistical method suitable for analyzing data from observational studies and therefore in which randomization is lacking.

Techniques presented:

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



The cost of the entire PSCORE Online course (3 sessions, for a total of 9 hours) is 450 Euros (excluding VAT) per participant.


There are exercises for each of the topics covered.



Attendance to the course is preparatoryTESTS Online(or have attended TSC on the calendar) or have knowledge of the topics it contains.

Attendance at the course is recommendedREG.



Online course lasting 9 hours, divided into 3 sessions of 3 hours each


Our online courses are delivered in live mode in order to guarantee the maximuminteractionand collaboration betweenprofessorAndparticipants. For this reason, the presence of the participants in all lessons is considered essential.

In case of absence from a lesson, the Training Staff will send the learner the points and exercises covered during the skipped lesson.

If you miss more than one lesson, the Training Staff reserves the right not to send the student the certificate of participation.

Certificate of attendance:

At the end of the course the certificate of participation will be issued.

Topics that will be addressed for each session:

First session (3 hours)

Contingency tables

  • Risk indices

    • Relative risk

    • odds ratio

    • Hazard Ratio

  • Examples and exercises

Second session (3 hours)

The logistic regression model

  • Binomial logistic regression

  • Multinomial logistic regression

  • Examples and exercises

Third session (3 hours)

Propensity Score Matching

  • Purpose of Propensity Score Matching

  • Different ways of application

  • Different types of matches

  • How to analyze matched data

  • Summary exercises

During the course you will have thepossibility to usethe functions of thePremium PScore modulefrom Statistics for Data Analysis:

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