Head to head comparison of the propensity score and the high-dimensional propensity score matching methods

Head to head comparison of the propensity score and the high-dimensional propensity score matching methods

Overview

What is the issue?

Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear.

What is the aim of the study?

We aimed to identify which method provided the best adjustment for confounding by indication within the context of the risk of diabetes among patients exposed to moderate versus high potency statins.

How was the study conducted?

A cohort of diabetes-free incident statins users was identified from the Quebec’s publicly funded medicoadministrative database (Full Cohort). We created two matched sub-cohorts by matching one patient initiated on a lower potency to one patient initiated on a high potency either on patients’ PS or hdPS. Both methods’ performance were compared by means of the absolute standardized differences (ASDD) regarding relevant characteristics and by means of the obtained measures of association.

What did the study find?

Eight out of the 18 examined characteristics were shown to be unbalanced within the Full Cohort. Although matching on either method achieved balance within all examined characteristic, matching on patients’ hdPS created the most balanced sub-cohort. Measures of associations and confidence intervals obtained within the two matched sub-cohorts overlapped.

Implications

Although ASDD suggest better matching with hdPS than with PS, measures of association were almost identical when adjusted for either method. Use of the hdPS method in adjusting for confounding by indication within future studies should be recommended due to its ability to identify confounding variables which may be unknown to the investigators.

Manuscripts

Guertin JR, Rahme E, Dormuth C, LeLorier J. Head to Head Comparison of the Propensity Score and the High-Dimensional Propensity Score Matching Methods. BMC Med Res Methodol. 2016 Feb 19;16:22.

Presentations

Project Team

Collaborator
Colin R. Dormuth ScD
British Columbia
Collaborator
Elham Rahme PhD
Quebec
Collaborator
Jason Robert Guertin PhD
Quebec