Restricted mean survival time in cluster randomized trials with a small number of clusters: Improving variance estimation of the intervention effect from the pseudo-values regression
In randomized clinical trials with a time-to-event outcome, the intervention effect could be quantified by a difference in restricted mean survival time (ΔRMST) between the intervention and control groups, defined as the expected survival duration gain due to the intervention over a fixed follow-up period. In cluster randomized trials (CRTs), social units are randomized to intervention or control groups; the correlation between survival times of the individuals within the same cluster must be taken into account in the statistical analysis. In a previous work, we proposed the use of pseudo-values regression, based on generalized estimating equations (GEEs), for estimating ΔRMST in CRTs. We showed that this method correctly estimated the ΔRMST and controlled the type I error rate in CRTs with at least 50 clusters. Here, we propose methods for CRTs with a small number of clusters (<50). We evaluated the performance of four bias-corrections of the GEE sandwich variance estimator of the intervention effect. We also considered the use of a Student <i>t</i> distribution as an alternative to the normal distribution of the GEE Wald test statistic for testing the intervention effect and constructing the confidence interval. With a simulation study, assuming proportional or non-proportional hazards, we showed that the Student <i>t</i> distribution outperformed the normal distribution in terms of type I error rate, and the Fay and Graubard bias-corrected variance led to an appropriate type I error rate whatever the number of clusters. Therefore, we recommend the use of the Fay and Graubard variance estimator combined with a Student <i>t</i> distribution for the pseudo-values regression to correctly estimate the variance of the intervention effect. Finally, we provide an illustrative analysis of the DEMETER trial evaluating the use of a specific endotracheal tube for subglottic secretion drainage to prevent ventilator-associated pneumonia, by comparing each of the methods considered.
Authors
- Agnès Caille (ORCID: https://orcid.org/0000-0003-4715-6144)
- Étienne Dantan (ORCID: https://orcid.org/0000-0001-7137-5051)
- JA Thompson (ORCID: https://orcid.org/0000-0002-3068-3952)
- F. Le Vilain-Abraham
- Solène Desmée (ORCID: https://orcid.org/0000-0002-2740-8749)
Institutions
- Université de Tours (FR)
- Inserm (FR)
- London School of Hygiene & Tropical Medicine (GB)
- Centre Hospitalier Universitaire de Tours (FR)
- Clinical Investigation Center Plurithematic Tours (FR)
- Centre Hospitalier Départemental Vendée (FR)
- methodS in Patient-centered outcomes and HEalth ResEarch
- Nantes Université (FR)
Publication Details
- Journal
- Statistical Methods in Medical Research
- Published
- 2026-01-12
- DOI
- https://doi.org/10.1177/09622802251406581
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00