Data and Code for "Cluster trials inference with CARE"

Replication package for Cluster Trials Inference with CARE This repository contains the data, code, and documentation supporting the manuscript Cluster Trials Inference with CARE by Sergey Alexeev and Rachael L. Morton. The package provides materials used to generate the empirical examples and simulation evidence reported in the paper. It is designed to allow readers and reviewers to inspect the analysis workflow and reproduce the main results where the underlying data are publicly available. Contents The archive contains two main components: 1. Empirical examples These reproduce the case studies discussed in the manuscript: Case Study 1 – Ten Hoor et al. (2018) Case Study 2 – Tannenbaum et al. (2013) Case Study 3 – Mudge et al. (2022) Case Study 4 – Kaaya et al. (2022) For the Stata-based case studies, the package provides: cleaned public-facing run scripts corresponding log files documenting the outputs structured folders separating data, code, output, and supporting documentation The empirical examples illustrate the CARE workflow (Clarify, Apply, Refine, Evaluate) for cluster-randomised trials. Important note:Case Study 3 cannot be independently rerun from this archive because the original dataset is not publicly available. The analysis outputs included in the package were generated in collaboration with the original study authors. 2. Simulation materials The repository also includes the simulation code and outputs underlying the manuscript’s simulation study. These simulations examine the performance of inference methods for cluster-randomised trials under varying numbers of clusters and cluster-size imbalance. Simulation components correspond to: Figure 2 Figures 3–6 Figure 7 Where possible, simulation outputs are included so that readers can inspect results without rerunning computationally intensive simulations. Package structure The repository is organized into two main directories: empirical examples/ – case study analyses and replication scripts simulation/ – simulation scripts and outputs Top-level manifest files (manifest_empirical_examples.csv and manifest_simulations.csv) map repository files to the corresponding tables and figures in the manuscript. Software requirements The empirical analyses were implemented primarily in Stata, with additional simulations implemented in R. The included scripts document the required commands and packages. Version note This Version 2 release is a cleaned and standardized replication archive. It introduces: standardized case-study folder structures cleaned public run scripts for the empirical examples saved logs documenting script outputs validation notes clarifying how package outputs correspond to manuscript tables The goal of this version is to improve transparency, inspectability, and reproducibility. Citation If you use this replication package, please cite both the manuscript and the Zenodo record associated with this repository.