ArticleBiometrics2017
Maximin optimal designs for cluster randomized trials.
Article in Biometrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Efficient design of partially nested randomized trials: A maximin approach.Statistical methods in medical research · 2026Article
- An Approach to Design Adaptive Clinical Trials With Time-to-Event Outcomes Based on a General Bayesian Posterior Distribution.Statistics in medicine · 2025Article
- Identifying Less Burdensome and More Cost-Efficient Incomplete Stepped Wedge Designs for Continuous Outcomes Collected via Repeated Cross-Sections.Statistics in medicine · 2025Article
- Optimal designs using generalized estimating equations in cluster randomized crossover and stepped wedge trials.Statistical methods in medical research · 2024Article
- An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome.Statistical methods in medical research · 2023Review
- Maximin design of cluster randomized trials with heterogeneous costs and variances.Biometrical journal. Biometrische Zeitschrift · 2021Article
- Optimal designs for discrete-time survival models with random effects.Lifetime data analysis · 2021Article
- Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative.Statistical methods in medical research · 2021Article
- Optimal allocation of subjects in a matched pair cluster-randomized trial with fixed number of heterogeneous clusters.Journal of applied statistics · 2021Article
- Optimal allocations for two treatment comparisons within the proportional odds cumulative logits model.PloS one · 2021Article
- Optimal designs in three-level cluster randomized trials with a binary outcome.Statistics in medicine · 2019Article
- Efficient design of cluster randomized trials with treatment-dependent costs and treatment-dependent unknown variances.Statistics in medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
We consider design issues for cluster randomized trials (CRTs) with a binary outcome where both unit costs and intraclass correlation coefficients (ICCs) in the two arms may be unequal. We first propose a design that maximizes cost efficiency (CE), defined as the ratio of the precision of the efficacy measure to the study cost. Because such designs can be highly sensitive to the unknown ICCs and the anticipated success rates in the two arms, a local strategy based on a single set of best guesses for the ICCs and success rates can be risky. To mitigate this issue, we propose a maximin optimal design that permits ranges of values to be specified for the success rate and the ICC in each arm. We derive maximin optimal designs for three common measures of the efficacy of the intervention, risk difference, relative risk and odds ratio, and study their properties. Using a real cancer control and prevention trial example, we ascertain the efficiency of the widely used balanced design relative to the maximin optimal design and show that the former can be quite inefficient and less robust to mis-specifications of the ICCs and the success rates in the two arms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.