Sample Size Calculations for Comparing Groups with Binary Outcomes

Sample size is a critical parameter for clinical studies. However, to many biomedical and psychosocial investigators, power and sample size analysis seems like a magic trick of statisticians. In this paper, we continue to discuss power and sample size calculations by focusing on binary outcomes. We...

Descripción completa

Detalles Bibliográficos
Autores principales: ZHANG, Xunan, LYU, Jiangnan, TU, Justin, LIU, Jinyuan, LU, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai Municipal Bureau of Publishing 2017
Materias:
Biostatistics in Psychiatry (41)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738522/
https://www.ncbi.nlm.nih.gov/pubmed/29276357
http://dx.doi.org/10.11919/j.issn.1002-0829.217132
_version_ 1783287711151423488
author ZHANG, Xunan
LYU, Jiangnan
TU, Justin
LIU, Jinyuan
LU, Xiang
author_facet ZHANG, Xunan
LYU, Jiangnan
TU, Justin
LIU, Jinyuan
LU, Xiang
author_sort ZHANG, Xunan
collection PubMed
description Sample size is a critical parameter for clinical studies. However, to many biomedical and psychosocial investigators, power and sample size analysis seems like a magic trick of statisticians. In this paper, we continue to discuss power and sample size calculations by focusing on binary outcomes. We again emphasize the importance of close interactions between investigators and biostatisticians in setting up hypotheses and carrying out power analyses.
format Online
Article
Text
id pubmed-5738522
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Shanghai Municipal Bureau of Publishing
record_format MEDLINE/PubMed
spelling pubmed-57385222017-12-22 Sample Size Calculations for Comparing Groups with Binary Outcomes ZHANG, Xunan LYU, Jiangnan TU, Justin LIU, Jinyuan LU, Xiang Shanghai Arch Psychiatry Biostatistics in Psychiatry (41) Sample size is a critical parameter for clinical studies. However, to many biomedical and psychosocial investigators, power and sample size analysis seems like a magic trick of statisticians. In this paper, we continue to discuss power and sample size calculations by focusing on binary outcomes. We again emphasize the importance of close interactions between investigators and biostatisticians in setting up hypotheses and carrying out power analyses. Shanghai Municipal Bureau of Publishing 2017-10-25 2017-10-25 /pmc/articles/PMC5738522/ /pubmed/29276357 http://dx.doi.org/10.11919/j.issn.1002-0829.217132 Text en © Shanghai Municipal Bureau of Publishing http://creativecommons.org/licenses/by-nc/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Biostatistics in Psychiatry (41)
ZHANG, Xunan
LYU, Jiangnan
TU, Justin
LIU, Jinyuan
LU, Xiang
Sample Size Calculations for Comparing Groups with Binary Outcomes
title Sample Size Calculations for Comparing Groups with Binary Outcomes
title_full Sample Size Calculations for Comparing Groups with Binary Outcomes
title_fullStr Sample Size Calculations for Comparing Groups with Binary Outcomes
title_full_unstemmed Sample Size Calculations for Comparing Groups with Binary Outcomes
title_short Sample Size Calculations for Comparing Groups with Binary Outcomes
title_sort sample size calculations for comparing groups with binary outcomes
topic Biostatistics in Psychiatry (41)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738522/
https://www.ncbi.nlm.nih.gov/pubmed/29276357
http://dx.doi.org/10.11919/j.issn.1002-0829.217132
work_keys_str_mv AT zhangxunan samplesizecalculationsforcomparinggroupswithbinaryoutcomes
AT lyujiangnan samplesizecalculationsforcomparinggroupswithbinaryoutcomes
AT tujustin samplesizecalculationsforcomparinggroupswithbinaryoutcomes
AT liujinyuan samplesizecalculationsforcomparinggroupswithbinaryoutcomes
AT luxiang samplesizecalculationsforcomparinggroupswithbinaryoutcomes

Ejemplares similares