Post-hoc power analysis: a conceptually valid approach for power based on observed study data.

Quach, Natalie E; Yang, Kun; Chen, Ruohui; Tu, Justin; Xu, Manfei; Tu, Xin M; Zhang, Xinlian

Quach, Natalie E; Yang, Kun; Chen, Ruohui; Tu, Justin; Xu, Manfei; Tu, Xin M; Zhang, Xinlian.

Afiliação

Quach NE; Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, California, USA.
Yang K; Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, California, USA.
Chen R; Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, California, USA.
Tu J; Department of Orthopedics, Emory Healthcare, Emory University, Atlanta, Georgia, USA.
Xu M; Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tu XM; Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, California, USA.
Zhang X; Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, California, USA.

Gen Psychiatr ; 35(4): e100764, 2022.

Article em En | MEDLINE | ID: mdl-36189182

Palavras-chave

Biostatistics; Observational Studies as Topic; Power, Psychological; Statistics as Topic

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: Gen Psychiatr Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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