Abstract
This article introduces randomized clinical trials and basic concepts of statistical inference. We present methods for calculating the sample size by outcome type and the hypothesis to be tested, together with the code in the R programming language. We describe four methods for adjusting the original sample size for interim analyses. We sought to introduce these topics in a simple and concrete way, considering the ma-thematical expressions that support the results and their implementation in available statistical programs; therefore, bringing health students closer to statistics and the use of statistical programs, which are aspects that are rarely considered during their training.
| Translated title of the contribution | La muestra en ensayos clínicos aleatorizados con análisis interino |
|---|---|
| Original language | English |
| Pages (from-to) | 220-228 |
| Number of pages | 9 |
| Journal | Revista Peruana de Medicina Experimental y Salud Publica |
| Volume | 40 |
| Issue number | 2 |
| DOIs | |
| State | Published - 01 Apr 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Clinical Trials
- Hypothesis Tests
- Sample Size
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