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Sample size: how many patients are necessary?
The need for sample size calculations is briefly reviewed: many of the arguments against small trials are already well known, and we only cursorily repeat them in passing. Problems that arise in the estimation of sample size are then discussed, with particular reference to survival studies. However,...
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
1995
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2034119/ https://www.ncbi.nlm.nih.gov/pubmed/7599035 |
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author | Fayers, P. M. Machin, D. |
author_facet | Fayers, P. M. Machin, D. |
author_sort | Fayers, P. M. |
collection | PubMed |
description | The need for sample size calculations is briefly reviewed: many of the arguments against small trials are already well known, and we only cursorily repeat them in passing. Problems that arise in the estimation of sample size are then discussed, with particular reference to survival studies. However, most of the issues which we discuss are equally applicable to other types of study. Finally, prognostic factor analysis designs are discussed, since this is another area in which experience shows that far too many studies are of an inadequate size and yield misleading results. |
format | Text |
id | pubmed-2034119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1995 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-20341192009-09-10 Sample size: how many patients are necessary? Fayers, P. M. Machin, D. Br J Cancer Research Article The need for sample size calculations is briefly reviewed: many of the arguments against small trials are already well known, and we only cursorily repeat them in passing. Problems that arise in the estimation of sample size are then discussed, with particular reference to survival studies. However, most of the issues which we discuss are equally applicable to other types of study. Finally, prognostic factor analysis designs are discussed, since this is another area in which experience shows that far too many studies are of an inadequate size and yield misleading results. Nature Publishing Group 1995-07 /pmc/articles/PMC2034119/ /pubmed/7599035 Text en https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Fayers, P. M. Machin, D. Sample size: how many patients are necessary? |
title | Sample size: how many patients are necessary? |
title_full | Sample size: how many patients are necessary? |
title_fullStr | Sample size: how many patients are necessary? |
title_full_unstemmed | Sample size: how many patients are necessary? |
title_short | Sample size: how many patients are necessary? |
title_sort | sample size: how many patients are necessary? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2034119/ https://www.ncbi.nlm.nih.gov/pubmed/7599035 |
work_keys_str_mv | AT fayerspm samplesizehowmanypatientsarenecessary AT machind samplesizehowmanypatientsarenecessary |