The objectives of this project are to determine the optimal output display(s) for a baseline covariate characteristics table, i.e., Table 1, for propensity score stratified analyses and to write a detailed functional specification to enhance the tool.
The Sentinel Propensity Score (PS) adjustment tool enables stratified, 1:1 matched, and variable-ratio matched analyses. In contrast to fixed-ratio matching (e.g., 1:1 propensity score matching), stratification and variable-ratio matching require accounting for the different numbers of patients in each stratum or matched set in order to control for confounding. Baseline covariate characteristics tables (i.e., ‘Table 1’) among the matched populations are typically used to assess covariate balance as a proxy for confounding control when performing matched analyses. Currently, no such table exists for stratified analyses to enable capture of balance within and across strata in an aggregated overall description of the stratified cohort.
Josh Gagne, ScD; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
Shirley Wang, PhD; Yinzhu Jin, MPH; Rishi Desai, PhD; Richie Wyss, PhD; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
Ting-Ying Huang, BSPharm, PhD; Zilu Zhang, MSc; Andrew Petrone, MPH; Margaret Johnson; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, MA
Rongmei Zhang, PhD; Mingfeng Zhang, PhD; David Tyler Coyle, MD; Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD