Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs
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Publication:6663830
DOI10.1002/sim.10206MaRDI QIDQ6663830
Rui Wang, Qilu Yu, Andrea J. Cook, David M. Murray, Elizabeth L. Turner, Xueqi Wang, Yunji Zhou, Jonathan C. Moyer, Unnamed Author, Patrick J. Heagerty, Sherri L. Pals
Publication date: 15 January 2025
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- An improved approximation to the precision of fixed effects from restricted maximum likelihood
- Misspecified maximum likelihood estimates and generalised linear mixed models
- Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
- The impact of ignoring multiple membership data structures in multilevel models
- How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research
- Designing multicenter individually randomized group treatment trials
- Using simulation studies to evaluate statistical methods
- Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances
- Sample size for partially nested designs and other nested or crossed designs with a continuous outcome when adjusted for baseline
- Contamination: how much can an individually randomized trial tolerate?
- Optimal design of cluster randomized trials allowing unequal allocation of clusters and unequal cluster size between arms
- Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations
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