What is Propensity Score Matching and what are the benefits?

In observational studies, it is common with confounders, ie uncontrolled or unknown variables, which affect both the outcome and other explanatory variables in the analysis. When comparing, for example, two groups (for instance in two different treatments), it is extremely important that the groups are comparable at the beginning of the analysis.

Otherwise, there is a risk that these confounders generate a static relationship between variables without there being direct causal relationships.
One way to balance the groups is by using Propensity score matching.

Propensity score matching

Who benefits from using Propensity Score Matching?

Anyone who works with data that comes from observational studies.

When do you use Propensity Score Matching?

For unbalanced observational data where you want to compare two or more groups based on specific outcomes.

You can learn more about this at our course called R 5 – Basic course in Propensity score matching.
The next course is online May 12 on Zoom.

R 5 – Basic course in Propensity score matching

Identify imbalances in your data set
Matching techniques
Evaluation of the matching quality
Estimate the treatment effects
How to describe methods and results

torsdag, februari 16, 2023

April 25–26, 2023

Data and graph management with Basic statistics in SPSS

fredag, februari 3, 2023

2 new R courses

• Introduction to modern statistics • Cluster analysis & SEM

onsdag, december 7, 2022

Get started in 2023

Courses in R & SPSS

torsdag, oktober 13, 2022

SPSS or R?

Instructor-led online training this fall

onsdag, oktober 5, 2022

All course dates in October

Learn more about statistics and R at one of our courses.

tisdag, september 20, 2022

SPSS 1 April 25–26

Online course in English - Data and graph management with basic statistics.

torsdag, april 7, 2022

R- All courses 2022

Rehearse old knowledge or learn something new at our educatons this fall

fredag, mars 25, 2022

R4, what is it good for?

A short Q&A with the course developer Måns Thulin