Cargando…

Increased risk of type I errors in cluster randomised trials with small or medium numbers of clusters: a review, reanalysis, and simulation study

BACKGROUND: Cluster randomised trials (CRTs) are commonly analysed using mixed-effects models or generalised estimating equations (GEEs). However, these analyses do not always perform well with the small number of clusters typical of most CRTs. They can lead to increased risk of a type I error (find...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kahan, Brennan C., Forbes, Gordon, Ali, Yunus, Jairath, Vipul, Bremner, Stephen, Harhay, Michael O., Hooper, Richard, Wright, Neil, Eldridge, Sandra M., Leyrat, Clémence
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2016
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013635/ https://www.ncbi.nlm.nih.gov/pubmed/27600609 http://dx.doi.org/10.1186/s13063-016-1571-2

Ejemplares similares

Informative cluster size in cluster-randomised trials: A case study from the TRIGGER trial
por: Kahan, Brennan C, et al.
Publicado: (2023)

Exploring non-compliance in a cluster randomised feasibility study to inform the design of the phase III trial
por: Bell, Lauren, et al.
Publicado: (2015)

The quality of reporting of pilot and feasibility cluster randomised trials: a systematic review
por: Coleman, Claire, et al.
Publicado: (2015)

Update on the transfusion in gastrointestinal bleeding (TRIGGER) trial: statistical analysis plan for a cluster-randomised feasibility trial
por: Kahan, Brennan C, et al.
Publicado: (2013)

Quality of reporting of pilot and feasibility cluster randomised trials: a systematic review
por: Chan, Claire L, et al.
Publicado: (2017)

Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method
por: Thompson, Jennifer A., et al.
Publicado: (2022)

Can we reduce bias in open-label trials when blinded outcome assessment is not possible? An example from the trigger trial
por: Kahan, Brennan, et al.
Publicado: (2015)

Ethical implications of excessive cluster sizes in cluster randomised trials
por: Hemming, Karla, et al.
Publicado: (2018)

Outcome pre-specification requires sufficient detail to guard against outcome switching in clinical trials: a case study
por: Kahan, Brennan C., et al.
Publicado: (2018)

Estimands in cluster-randomized trials: choosing analyses that answer the right question
por: Kahan, Brennan C, et al.
Publicado: (2022)

Intervention effect estimates in cluster randomized versus individually randomized trials: a meta-epidemiological study
por: Leyrat, Clémence, et al.
Publicado: (2019)

Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis
por: Kahan, Brennan C, et al.
Publicado: (2012)

A comparison of approaches for adjudicating outcomes in clinical trials
por: Kahan, Brennan C., et al.
Publicado: (2017)

Stratified randomisation: a hidden form of clustering?
por: Kahan, Brennan C, et al.
Publicado: (2011)

Access to unpublished protocols and statistical analysis plans of randomised trials
por: Campbell, David, et al.
Publicado: (2022)

Assessing potential sources of clustering in individually randomised trials
por: Kahan, Brennan C, et al.
Publicado: (2013)

How to design efficient cluster randomised trials
por: Hemming, K, et al.
Publicado: (2017)

A review of the use of covariates in cluster randomized trials uncovers marked discrepancies between guidance and practice
por: Wright, Neil, et al.
Publicado: (2015)

Propensity score to detect baseline imbalance in cluster randomized trials: the role of the c-statistic
por: Leyrat, Clémence, et al.
Publicado: (2016)

Re-randomisation trials in multi-episode settings: Estimands and independence estimators
por: Kahan, Brennan C, et al.
Publicado: (2022)

The risks and rewards of covariate adjustment in randomized trials: an assessment of 12 outcomes from 8 studies
por: Kahan, Brennan C, et al.
Publicado: (2014)

The quality of reporting in cluster randomised crossover trials: proposal for reporting items and an assessment of reporting quality
por: Arnup, Sarah J., et al.
Publicado: (2016)

Independence estimators for re-randomisation trials in multi-episode settings: a simulation study
por: Kahan, Brennan C., et al.
Publicado: (2021)

The enrichment of the intra-cluster medium
por: Arnaud, Monique
Publicado: (1994)

The use of the cluster randomized crossover design in clinical trials: protocol for a systematic review
por: Arnup, Sarah J, et al.
Publicado: (2014)

Reducing bias in open-label trials where blinded outcome assessment is not feasible: strategies from two randomised trials
por: Kahan, Brennan C, et al.
Publicado: (2014)

Effectiveness of financial incentives to improve adherence to maintenance treatment with antipsychotics: cluster randomised controlled trial
por: Priebe, Stefan, et al.
Publicado: (2013)

Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
por: Wang, Junbai, et al.
Publicado: (2002)

Latent Class Cluster Analysis: Selecting the number of clusters
por: Lezhnina, Olga, et al.
Publicado: (2022)

Cross-Clustering: A Partial Clustering Algorithm with Automatic Estimation of the Number of Clusters
por: Tellaroli, Paola, et al.
Publicado: (2016)

Coping with Persistent Pain, Effectiveness Research into Self-management (COPERS): statistical analysis plan for a randomised controlled trial
por: Kahan, Brennan C, et al.
Publicado: (2014)

Sample size calculations for cluster randomised controlled trials with a fixed number of clusters
por: Hemming, Karla, et al.
Publicado: (2011)

Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clusters
por: Grantham, Kelsey L., et al.
Publicado: (2022)

Cost-Effectiveness of Financial Incentives to Promote Adherence to Depot Antipsychotic Medication: Economic Evaluation of a Cluster-Randomised Controlled Trial
por: Henderson, Catherine, et al.
Publicado: (2015)

A comparative study of R functions for clustered data analysis
por: Wang, Wei, et al.
Publicado: (2021)

Evidence of unexplained discrepancies between planned and conducted statistical analyses: a review of randomised trials
por: Cro, Suzie, et al.
Publicado: (2020)

Clustering of fMRI data: the elusive optimal number of clusters
por: Seghier, Mohamed L.
Publicado: (2018)

Estimating the number of clusters via a corrected clustering instability
por: Haslbeck, Jonas M. B., et al.
Publicado: (2020)

Re-randomization increased recruitment and provided similar treatment estimates as parallel designs in trials of febrile neutropenia
por: Kahan, Brennan C., et al.
Publicado: (2018)

How to design a pre-specified statistical analysis approach to limit p-hacking in clinical trials: the Pre-SPEC framework
por: Kahan, Brennan C., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ofv096ne0p3mu76o3vmkan3al7