Propensity score fine stratification SAS macro
Year: 2020
Type: dataset
Abstract: This macro performs propensity score (PS) adjusted analysis using stratification for cohort studies from an analytic file containing information on patient identifiers, exposure, confounding variables or pre-computed PS, and binary outcomes/censoring time. In the first step, patients from non-overlapping regions of PS distributions are trimmed. Next, PS strata are created using either the distribution of PS in the exposed group only or the entire cohort as specified by the user. Next, this macro calculates weights targeting the ATT (Average Treatment effect among the Treated) or the ATE (Average Treatment Effect in the whole population) as specified by the user. Finally, weighted generalized linear models or weighted Cox-proportional hazards model provides adjusted effect estimates along with confidence intervals calculated using robust variance estimates to account for weighting.
Source: Harvard Dataverse
DOI: 10.7910/dvn/u8jlcw
Author: Desai, Rishi
Institution: Harvard University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4398951140