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Sample Size Calculations for Comparing Groups with Continuous Outcomes

Sample size justification is required for all clinical studies. However, to many biomedical and clinical researchers, power and sample size analysis seems like a magic trick of statisticians. In this note, we discuss power and sample size calculations and show that biomedical and clinical investigat...

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Autores principales: ZHENG, Julia Z., LI, Yangyi, LIN, Tuo, ESTRADA, Angelica, LU, Xiang, FENG, Changyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai Municipal Bureau of Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609001/
https://www.ncbi.nlm.nih.gov/pubmed/28955148
http://dx.doi.org/10.11919/j.issn.1002-0829.217101
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author ZHENG, Julia Z.
LI, Yangyi
LIN, Tuo
ESTRADA, Angelica
LU, Xiang
FENG, Changyong
author_facet ZHENG, Julia Z.
LI, Yangyi
LIN, Tuo
ESTRADA, Angelica
LU, Xiang
FENG, Changyong
author_sort ZHENG, Julia Z.
collection PubMed
description Sample size justification is required for all clinical studies. However, to many biomedical and clinical researchers, power and sample size analysis seems like a magic trick of statisticians. In this note, we discuss power and sample size calculations and show that biomedical and clinical investigators play a significant role in making such analyses possible and meaningful. Thus, power analysis is really an interactive process and scientific researchers and statisticians are equal partners in the research enterprise.
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spelling pubmed-56090012017-09-27 Sample Size Calculations for Comparing Groups with Continuous Outcomes ZHENG, Julia Z. LI, Yangyi LIN, Tuo ESTRADA, Angelica LU, Xiang FENG, Changyong Shanghai Arch Psychiatry Biostatistics in Psychiatry (40) Sample size justification is required for all clinical studies. However, to many biomedical and clinical researchers, power and sample size analysis seems like a magic trick of statisticians. In this note, we discuss power and sample size calculations and show that biomedical and clinical investigators play a significant role in making such analyses possible and meaningful. Thus, power analysis is really an interactive process and scientific researchers and statisticians are equal partners in the research enterprise. Shanghai Municipal Bureau of Publishing 2017-08-25 2017-08-25 /pmc/articles/PMC5609001/ /pubmed/28955148 http://dx.doi.org/10.11919/j.issn.1002-0829.217101 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 (40)
ZHENG, Julia Z.
LI, Yangyi
LIN, Tuo
ESTRADA, Angelica
LU, Xiang
FENG, Changyong
Sample Size Calculations for Comparing Groups with Continuous Outcomes
title Sample Size Calculations for Comparing Groups with Continuous Outcomes
title_full Sample Size Calculations for Comparing Groups with Continuous Outcomes
title_fullStr Sample Size Calculations for Comparing Groups with Continuous Outcomes
title_full_unstemmed Sample Size Calculations for Comparing Groups with Continuous Outcomes
title_short Sample Size Calculations for Comparing Groups with Continuous Outcomes
title_sort sample size calculations for comparing groups with continuous outcomes
topic Biostatistics in Psychiatry (40)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609001/
https://www.ncbi.nlm.nih.gov/pubmed/28955148
http://dx.doi.org/10.11919/j.issn.1002-0829.217101
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