The use of pilot study data in the estimation od sample size

In the two sample binomial case, one approach to the estimation of sample size is to conduct a pilot study and assume that the observed proportion in the pilot study have no sampling error and are in fact true population parameter which can be used directly in standard sample size formulas. This app...

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Autores:
Roser, Bernard
Muñoz, Alvaro
Tipo de recurso:
Article of journal
Fecha de publicación:
1985
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/24238
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/24238
http://bdigital.unal.edu.co/15275/
Palabra clave:
Estadística matemática
Tamaño de la muestra
Curvas de potencia
Distribución binomial
Inferencia bayesiana
Estudio piloto
Estadística matemática
Inferencia estadística
Probabilidades: Teoría estadística
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:In the two sample binomial case, one approach to the estimation of sample size is to conduct a pilot study and assume that the observed proportion in the pilot study have no sampling error and are in fact true population parameter which can be used directly in standard sample size formulas. This approach has conceptual difficultie swhen such a pilot study is small since there is typically considerable error in the observed proportions. In this paper; we propose an lternative method which takes into account the sampling error in pilot study data in the estimation of sample size for a larger study. Tables are provided comparing these two methods and it is shown that the former deterministic method may provide a grossly inaccurate estímate of the appropriate sample size for alarger study, partlcularly for small pilot studies.