Artigo Revisado por pares

Sample Size

2003; Taylor & Francis; Volume: 57; Issue: 3 Linguagem: Inglês

10.1198/0003130031919

ISSN

1537-2731

Autores

Robert A. Parker, Nancy Berman,

Tópico(s)

Meta-analysis and systematic reviews

Resumo

Conventionally, sample size calculations are viewed as calculations determining the right number of subjects needed for a study. Such calculations follow the classical paradigm: "for a difference X, I need sample size Y." We argue that the paradigm "for a sample size Y, I get information Z" is more appropriate for many studies and reflects the information needed by scientists when planning a study. This approach applies to both physiological studies and Phase I and II interventional studies. We provide actual examples from our own consulting work to demonstrate this. We conclude that sample size should be viewed not as a unique right number, but rather as a factor needed to assess the utility of a study.

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