Cholesterol-lowering effect of statin therapy in a clinical HIV cohort: an application of double propensity score adjustment.

ABSTRACT:

Purpose

Propensity score matching (PSM) is often used to estimate the average treatment effect among the treated (ATT) using observational data. We demonstrate how the use of "double propensity score adjustment" can reduce residual confounding and avoid bias due to incomplete matching compared with traditional PSM methods.

Methods

The DC Cohort is an observational clinical HIV cohort in Washington, DC. We compared the mean percent change in non-high-density lipoprotein cholesterol (non-HDL-C) concentration after 3-12 months between participants treated and participants not treated with statin therapy between 2011 and 2018. We conducted traditional PSM procedures (optimal, nearest neighbor, and nearest neighbor caliper matching) and double propensity score adjustment.

Resu

SUBMITTER: Levy ME 

PROVIDER: S-EPMC7190432 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature