Estimating the complier average causal effect in a meta-analysis of randomized clinical trials with binary outcomes accounting for noncompliance: A generalized linear …

T Zhou, J Zhou, JS Hodges, L Lin… - American journal of …, 2022 - academic.oup.com
Noncompliance, a common problem in randomized clinical trials (RCTs), can bias
estimation of the effect of treatment receipt using a standard intention-to-treat analysis. The …

A survey of methodologies on causal inference methods in meta-analyses of randomized controlled trials

G Markozannes, G Vourli, E Ntzani - Systematic Reviews, 2021 - Springer
Background Meta-analyses of randomized controlled trials (RCTs) have been considered as
the highest level of evidence in the pyramid of the evidence-based medicine. However, the …

Causally interpretable meta‐analysis: Clearly defined causal effects and two case studies

KW Rott, G Bronfort, H Chu, JD Huling… - Research Synthesis …, 2024 - Wiley Online Library
Meta‐analysis is commonly used to combine results from multiple clinical trials, but
traditional meta‐analysis methods do not refer explicitly to a population of individuals to …

Generalizing the intention-to-treat effect of an active control from historical placebo-controlled trials: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 …

Q He, F Gao, O Dukes… - Journal of the …, 2024 - Taylor & Francis
In many clinical settings, an active-controlled trial design (eg, a non-inferiority or superiority
design) is often used to compare an experimental medicine to an active control (eg, an FDA …

Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome

X Sun, Y Shin, JE Lafata… - Statistics in …, 2024 - Wiley Online Library
Within each of 170 physicians, patients were randomized to access e‐assist, an online
program that aimed to increase colorectal cancer screening (CRCS), or control. Compliance …

Sensitivity of estimands in clinical trials with imperfect compliance

H Chen, DF Heitjan - The international journal of biostatistics, 2024 - degruyter.com
In clinical trials that are subject to noncompliance, the commonly used intention-to-treat
estimand is valid as a causal effect of treatment assignment but is sensitive to the level of …

Estimating the Complier Average Causal Effect with Non-Ignorable Missing Outcomes Using Likelihood Analysis

J Du, G Wen, X Liang - Mathematics, 2024 - mdpi.com
Missing data problems arise in randomized trials, which complicates the inference of causal
effects if the missing mechanism is non-ignorable. We tackle the challenge of identifying and …

Transportability of Principal Causal Effects

JM Clark, KW Rott, JS Hodges, JD Huling - arXiv preprint arXiv …, 2024 - arxiv.org
Recent research in causal inference has made important progress in addressing challenges
to the external validity of trial findings. Such methods weight trial participant data to more …

A Bayesian hierarchical CACE model accounting for incomplete noncompliance with application to a meta-analysis of epidural analgesia on cesarean section

J Zhou, JS Hodges, H Chu - Journal of the American Statistical …, 2021 - Taylor & Francis
Noncompliance with assigned treatments is a common challenge in analyzing and
interpreting randomized clinical trials (RCTs). One way to handle noncompliance is to …

Generalizing the intention-to-treat effect of an active control against placebo from historical placebo-controlled trials to an active-controlled trial: A case study of the …

Q He, F Gao, O Dukes, S Delany-Moretlwe… - arXiv preprint arXiv …, 2023 - arxiv.org
In many clinical settings, an active-controlled trial design (eg, a non-inferiority or superiority
design) is often used to compare an experimental medicine to an active control (eg, an FDA …