Utilizing propensity scores to estimate causal treatment effects with censored time-lagged data
BIOMETRICS, 57(4), 1207–1218.
United States of America 🇺🇸
author keywords: censoring; confounding; inverse weighting; Kaplan-Meier; observational study; propensity score; survival analysis
MeSH headings :
Analysis of Variance; Biometry; Clinical Trials as Topic / statistics & numerical data; Coronary Disease / economics; Coronary Disease / therapy; Data Interpretation, Statistical; Health Care Costs / statistics & numerical data; Humans; Models, Statistical
Source: Web Of Science
Added: August 6, 2018