2012
DOI: 10.4103/0974-1208.97779
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Sample size estimation and power analysis for clinical research studies

Abstract: Determining the optimal sample size for a study assures an adequate power to detect statistical significance. Hence, it is a critical step in the design of a planned research protocol. Using too many participants in a study is expensive and exposes more number of subjects to procedure. Similarly, if study is underpowered, it will be statistically inconclusive and may make the whole protocol a failure. This paper covers the essentials in calculating power and sample size for a variety of applied study designs. … Show more

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Cited by 749 publications
(504 citation statements)
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“…Power of test analysis and sample size estimation were performed by PS software (PS Power and Sample Size Calculations, DuPont and Walton D. Plummer), whereas power of study was considered to be 80%. 19 …”
Section: Discussionmentioning
confidence: 99%
“…Power of test analysis and sample size estimation were performed by PS software (PS Power and Sample Size Calculations, DuPont and Walton D. Plummer), whereas power of study was considered to be 80%. 19 …”
Section: Discussionmentioning
confidence: 99%
“…Each cycle patient received 7Gy/fraction with bowel and bladder in normal limits with HDR application. [5][6][7][8] …”
Section: Chemotherapymentioning
confidence: 99%
“…The Statistical software namely SAS 9.2, SPSS 15.0, Stata 10.1, MedCalc 9.0.1 ,Systat 12.0 and R environment ver.2.11.1 were used for the analysis of the data and Microsoft word and Excel have been used to generate graphs, tables etc 9,10 …”
Section: Statistical Softwarementioning
confidence: 99%