Beyond intent to treat (ITT): A complier average causal effect (CACE) estimation primer.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of school psychology"
DOI: 10.1016/j.jsp.2015.12.006
Abstract: Randomized control trials (RCTs) have long been the gold standard for allowing causal inferences to be made regarding the efficacy of a treatment under investigation, but traditional RCT data analysis perspectives do not take into… read more here.
Keywords: estimation; effect cace; causal effect; average causal ... See more keywords
Semiparametric estimation for average causal effects using propensity score-based spline
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2020.10.004
Abstract: Abstract When estimating the average causal effect in observational studies, researchers have to tackle both self-selection of treatment and outcome modeling. This is difficult because the parametric form of the outcome model is often unknown… read more here.
Keywords: average causal; semiparametric estimation; propensity score;
Estimation of the Average Causal Effect in Longitudinal Data With Time-Varying Exposures: The Challenge of Non-Positivity and the Impact of Model Flexibility.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of epidemiology"
DOI: 10.1093/aje/kwac136
Abstract: There are important challenges to the estimation and identification of average causal effects in longitudinal data with time-varying exposures. Here, we discuss the difficulty in meeting the positivity condition. Our motivating example is the per-protocol… read more here.
Keywords: longitudinal data; positivity; non positivity; data time ... See more keywords