Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: a plasmode simulation

DOI10.1002/sim.8887zbMath1546.62166MaRDI QIDQ6627753

Alan R. Ellis, Michele Jonsson Funk, Charles P. jun. Poole, Mitchell M. Conover, Til Stürmer, Kenneth J. Rothman

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

classification Monte Carlo method bias propensity score confounding factors

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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