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Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study

The assessment of the sensitivity of statistical methods has received little attention in cluster randomized trials (CRTs), especially for stratified CRT when the outcome of interest is continuous. We empirically examined the sensitivity of five methods for analyzing the continuous outcome from a st...

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Autores principales: Borhan, Sayem, Mallick, Rizwana, Pillay, Mershen, Kathard, Harsha, Thabane, Lehana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627034/
https://www.ncbi.nlm.nih.gov/pubmed/31338480
http://dx.doi.org/10.1016/j.conctc.2019.100405
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author Borhan, Sayem
Mallick, Rizwana
Pillay, Mershen
Kathard, Harsha
Thabane, Lehana
author_facet Borhan, Sayem
Mallick, Rizwana
Pillay, Mershen
Kathard, Harsha
Thabane, Lehana
author_sort Borhan, Sayem
collection PubMed
description The assessment of the sensitivity of statistical methods has received little attention in cluster randomized trials (CRTs), especially for stratified CRT when the outcome of interest is continuous. We empirically examined the sensitivity of five methods for analyzing the continuous outcome from a stratified CRT - aimed to investigate the efficacy of the Classroom Communication Resource (CCR) compared to usual care to improve the peer attitude towards children who stutter among grade 7 students. Schools – the clusters, were divided into quintile based on their socio-political resources, and then stratified by quintile. The schools were then randomized to CCR and usual care groups in each stratum. The primary outcome was Stuttering Resource Outcomes Measure. Five methods, including the primary method, were used in this study to examine the effect of CCR. The individual-level methods were: (i) linear regression; (ii) mixed-effects method; (iii) GEE with exchangeable correlation structure (primary method of analysis). And the cluster-level methods were: (iv) cluster-level linear regression; and (v) meta-regression. These methods were also compared with or without adjustment for stratification. Ten schools were stratified by quintile, and then randomized to CCR (223 students) and usual care (231 students) groups. The direction of the estimated differences was same for all the methods except meta-regression. The widths of the 95% confidence intervals were narrower when adjusted for stratification. The overall conclusion from all the methods was similar but slightly differed in terms of effect estimate and widths of confidence intervals. TRIALREGISTRATION: Clinicaltrials.gov, NCT03111524. Registered on 9 March 2017.
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spelling pubmed-66270342019-07-23 Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study Borhan, Sayem Mallick, Rizwana Pillay, Mershen Kathard, Harsha Thabane, Lehana Contemp Clin Trials Commun Article The assessment of the sensitivity of statistical methods has received little attention in cluster randomized trials (CRTs), especially for stratified CRT when the outcome of interest is continuous. We empirically examined the sensitivity of five methods for analyzing the continuous outcome from a stratified CRT - aimed to investigate the efficacy of the Classroom Communication Resource (CCR) compared to usual care to improve the peer attitude towards children who stutter among grade 7 students. Schools – the clusters, were divided into quintile based on their socio-political resources, and then stratified by quintile. The schools were then randomized to CCR and usual care groups in each stratum. The primary outcome was Stuttering Resource Outcomes Measure. Five methods, including the primary method, were used in this study to examine the effect of CCR. The individual-level methods were: (i) linear regression; (ii) mixed-effects method; (iii) GEE with exchangeable correlation structure (primary method of analysis). And the cluster-level methods were: (iv) cluster-level linear regression; and (v) meta-regression. These methods were also compared with or without adjustment for stratification. Ten schools were stratified by quintile, and then randomized to CCR (223 students) and usual care (231 students) groups. The direction of the estimated differences was same for all the methods except meta-regression. The widths of the 95% confidence intervals were narrower when adjusted for stratification. The overall conclusion from all the methods was similar but slightly differed in terms of effect estimate and widths of confidence intervals. TRIALREGISTRATION: Clinicaltrials.gov, NCT03111524. Registered on 9 March 2017. Elsevier 2019-07-05 /pmc/articles/PMC6627034/ /pubmed/31338480 http://dx.doi.org/10.1016/j.conctc.2019.100405 Text en © 2019 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Borhan, Sayem
Mallick, Rizwana
Pillay, Mershen
Kathard, Harsha
Thabane, Lehana
Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
title Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
title_full Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
title_fullStr Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
title_full_unstemmed Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
title_short Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
title_sort sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627034/
https://www.ncbi.nlm.nih.gov/pubmed/31338480
http://dx.doi.org/10.1016/j.conctc.2019.100405
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