Sample size calculation: Basic principles
Addressing a sample size is a practical issue that has to be solved during planning and designing stage of the study. The aim of any clinical research is to detect the actual difference between two groups (power) and to provide an estimate of the difference with a reasonable accuracy (precision). He...
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Format: | Article |
Language: | English |
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Wolters Kluwer Medknow Publications
2016-01-01
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Series: | Indian Journal of Anaesthesia |
Subjects: | |
Online Access: | http://www.ijaweb.org/article.asp?issn=0019-5049;year=2016;volume=60;issue=9;spage=652;epage=656;aulast=Das |
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author | Sabyasachi Das Koel Mitra Mohanchandra Mandal |
author_facet | Sabyasachi Das Koel Mitra Mohanchandra Mandal |
author_sort | Sabyasachi Das |
collection | DOAJ |
description | Addressing a sample size is a practical issue that has to be solved during planning and designing stage of the study. The aim of any clinical research is to detect the actual difference between two groups (power) and to provide an estimate of the difference with a reasonable accuracy (precision). Hence, researchers should do a priori estimate of sample size well ahead, before conducting the study. Post hoc sample size computation is not encouraged conventionally. Adequate sample size minimizes the random error or in other words, lessens something happening by chance. Too small a sample may fail to answer the research question and can be of questionable validity or provide an imprecise answer while too large a sample may answer the question but is resource-intensive and also may be unethical. More transparency in the calculation of sample size is required so that it can be justified and replicated while reporting. |
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format | Article |
id | doaj.art-7a064b824ca546f9b7ef8c1f3b83d2f4 |
institution | Directory Open Access Journal |
issn | 0019-5049 |
language | English |
last_indexed | 2024-12-12T08:15:31Z |
publishDate | 2016-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Indian Journal of Anaesthesia |
spelling | doaj.art-7a064b824ca546f9b7ef8c1f3b83d2f42022-12-22T00:31:36ZengWolters Kluwer Medknow PublicationsIndian Journal of Anaesthesia0019-50492016-01-0160965265610.4103/0019-5049.190621Sample size calculation: Basic principlesSabyasachi DasKoel MitraMohanchandra MandalAddressing a sample size is a practical issue that has to be solved during planning and designing stage of the study. The aim of any clinical research is to detect the actual difference between two groups (power) and to provide an estimate of the difference with a reasonable accuracy (precision). Hence, researchers should do a priori estimate of sample size well ahead, before conducting the study. Post hoc sample size computation is not encouraged conventionally. Adequate sample size minimizes the random error or in other words, lessens something happening by chance. Too small a sample may fail to answer the research question and can be of questionable validity or provide an imprecise answer while too large a sample may answer the question but is resource-intensive and also may be unethical. More transparency in the calculation of sample size is required so that it can be justified and replicated while reporting.http://www.ijaweb.org/article.asp?issn=0019-5049;year=2016;volume=60;issue=9;spage=652;epage=656;aulast=DasEffect sizemedical researchpowerrandomized control trialresearch hypothesissample sizestudy design |
spellingShingle | Sabyasachi Das Koel Mitra Mohanchandra Mandal Sample size calculation: Basic principles Indian Journal of Anaesthesia Effect size medical research power randomized control trial research hypothesis sample size study design |
title | Sample size calculation: Basic principles |
title_full | Sample size calculation: Basic principles |
title_fullStr | Sample size calculation: Basic principles |
title_full_unstemmed | Sample size calculation: Basic principles |
title_short | Sample size calculation: Basic principles |
title_sort | sample size calculation basic principles |
topic | Effect size medical research power randomized control trial research hypothesis sample size study design |
url | http://www.ijaweb.org/article.asp?issn=0019-5049;year=2016;volume=60;issue=9;spage=652;epage=656;aulast=Das |
work_keys_str_mv | AT sabyasachidas samplesizecalculationbasicprinciples AT koelmitra samplesizecalculationbasicprinciples AT mohanchandramandal samplesizecalculationbasicprinciples |