The power of sample size calculations that minimize costs

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Authors

Thomas, Diana M.

Issue Date

2023-06

Type

journal-article

Language

Keywords

Sample Size

Research Projects

Organizational Units

Journal Issue

Alternative Title

Abstract

Nearly every nutrition investigator who has designed a study has performed a power calculation to estimate projected sample size. Even more specifically, investigators want to know what the minimal required sample size should be to statistically test a hypothesis. We are interested in the minimal sample size because the larger the sample size, the higher the cost, labor, and effort required to conduct the study. Power calculations do not, however, provide the sample size calculations that minimize costs. Candel and van Breukelen’s publication in this issue of the Journal presents a refreshing, alternative set of rigorous sample size calculations that minimize costs for different types of study designs.

Description

Citation

Thomas DM. The power of sample size calculations that minimize costs. Am J Clin Nutr. 2023 Jun;117(6):1053-1054. doi: 10.1016/j.ajcnut.2023.03.027. Epub 2023 Apr 19. PMID: 37120340.

Publisher

Elsevier BV

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Journal

Volume

Issue

URI

https://hdl.handle.net/20.500.14216/1275

PubMed ID

DOI

https://doi.org/10.1016/j.ajcnut.2023.03.027

ISSN

0002-9165

EISSN

Collections

Mathematical Sciences Works of Scholarship