Sample size estimation and power analysis for clinical research studies
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...
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| Main Authors: | , |
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| Format: | Book |
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Wolters Kluwer Medknow Publications,
2012-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Summary: | 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. Sample size computation for single group mean, survey type of studies, 2 group studies based on means and proportions or rates, correlation studies and for case-control for assessing the categorical outcome are presented in detail. |
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| Item Description: | 0974-1208 1998-4766 10.4103/0974-1208.97779 |