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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai Municipal Bureau of Publishing
2017
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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. |
format | Online Article Text |
id | pubmed-5609001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Shanghai Municipal Bureau of Publishing |
record_format | MEDLINE/PubMed |
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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