Practical inference for a complier average causal effect in cluster randomised trials with a binary outcome

Our bootstrapping approach provides an accessible and computationally simple method to evaluate efficacy in support of ITT analyses in cluster randomised trials.

Authors

Institutions

Publication Details

Journal
Clinical Trials
Published
2025-10-16
DOI
https://doi.org/10.1177/17407745251378407
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Practical inference for a complier average causal effect in cluster randomised trials with a binary outcome

Charles Opondo, JA Thompson, Tansy Edwards, Elizabeth J. Allen
Clinical Trials
Advanced Causal Inference Techniques
article

Practical inference for a complier average causal effect in cluster randomised trials with a binary outcome

Charles Opondo, JA Thompson, Tansy Edwards, Elizabeth J. Allen
article en

Abstract

Our bootstrapping approach provides an accessible and computationally simple method to evaluate efficacy in support of ITT analyses in cluster randomised trials.

Clinical TrialsVol. 23(1)
London School of Hygiene & Tropical Medicine (GB)
Openalex Percentile: Top 72%
Advanced Causal Inference Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.