Causal Inference in Randomized Trials with Noncompliance
نویسنده
چکیده
منابع مشابه
Causal inference methods to assess safety upper bounds in randomized trials with noncompliance
BACKGROUND Premature discontinuation and other forms of noncompliance with treatment assignment can complicate causal inference of treatment effects in randomized trials. The intent-to-treat analysis gives unbiased estimates for causal effects of treatment assignment on outcome, but may understate potential benefit or harm of actual treatment. The corresponding upper confidence limit can also b...
متن کاملMultiple imputation methods for treatment noncompliance and nonresponse in randomized clinical trials.
Randomized clinical trials are a powerful tool for investigating causal treatment effects, but in human trials there are oftentimes problems of noncompliance which standard analyses, such as the intention-to-treat or as-treated analysis, either ignore or incorporate in such a way that the resulting estimand is no longer a causal effect. One alternative to these analyses is the complier average ...
متن کاملSharp bounds on the causal effects in randomized experiments with ‘‘truncation-by-death’’
Many randomized experiments suffer from the ‘‘truncation-by-death’’ problem where potential outcomes are not defined for some subpopulations. For example, in medical trials, quality-of-life measures are only defined for surviving patients. In this article, I derive the sharp bounds on causal effects under various assumptions. My identification analysis is based on the idea that the ‘‘truncation...
متن کاملPerformance of statistical methods for analysing survival data in the presence of non-random compliance.
Noncompliance often complicates estimation of treatment efficacy from randomized trials. Under random noncompliance, per protocol analyses or even simple regression adjustments for noncompliance, could be adequate for causal inference, but special methods are needed when noncompliance is related to risk. For survival data, Robins and Tsiatis introduced the semi-parametric structural Causal Acce...
متن کاملEfficient nonparametric estimation of causal effects in randomized trials with noncompliance
Causal approaches based on the potential outcome framework provide a useful tool for addressing noncompliance problems in randomized trials. We propose a new estimator of causal treatment effects in randomized clinical trials with noncompliance. We use the empirical likelihood approach to construct a profile random sieve likelihood and take into account the mixture structure in outcome distribu...
متن کامل