Dataset decay and the problem of sequential analyses on open datasets.
Elife
; 92020 05 19.
Article
em En
| MEDLINE
| ID: mdl-32425159
ABSTRACT
Open data allows researchers to explore pre-existing datasets in new ways. However, if many researchers reuse the same dataset, multiple statistical testing may increase false positives. Here we demonstrate that sequential hypothesis testing on the same dataset by multiple researchers can inflate error rates. We go on to discuss a number of correction procedures that can reduce the number of false positives, and the challenges associated with these correction procedures.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Interpretação Estatística de Dados
/
Disseminação de Informação
/
Conjuntos de Dados como Assunto
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article