Sample size estimation and power analysis for clinical research studies
Bibliographic Data
| ID | 23385095 |
|---|---|
| Authors | KP Suresh (National Institute of Animal Nutrition and Physiology), S Chandrashekara (Department of Immunology and Reumatology, ChanRe Rheumatology and Immunology Center and Research, Bangalore, India) |
| Year | 2012 |
| Volume | 5 |
| Issue | 1 |
| Pages | 7-13 |
| Publication date | 2012-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Human Reproductive Sciences (JOURNAL) |
| Journal identifiers | ISSN: 0974-1208 • E-ISSN: 1998-4766 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.4103/0974-1208.97779 |
| PMID | 22870008 |
| PMCID | PMC3409926 |
| OpenAlex | W2038287973 |
| Language | EN |
| Citations received | 63 |
| References cited | 2 |
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.
Algorithm · Categorical variable · Estimation · Outcome (game theory) · Power analysis · Protocol (science) · Research design · Sample (material) · Sample size determination · Statistical power · Statistics · Type I and type II errors · Computer Science · Engineering · Mathematics · Medicine · Meta-analysis and systematic reviews · Statistical Methods in Clinical Trials
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| Citations per year | 5.25 |
|---|---|
| Citation span | 2014 - 2026 (13) |
| Highly cited | No |