2021 journal article
Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation
STATISTICS IN MEDICINE, 40(9), 2101–2112.
author keywords: bias; classification; confounding factors; Monte Carlo method; propensity score
MeSH headings : Adult; Aged; Bias; Computer Simulation; Humans; Middle Aged; Monte Carlo Method; Nutrition Surveys; Propensity Score
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: March 8, 2021
BackgroundInverse probability of treatment weighting (IPTW) may be biased by influential observations, which can occur from misclassification of strong exposure predictors.