Sensitivity and specificity of information criteria.

Dziak, John J; Coffman, Donna L; Lanza, Stephanie T; Li, Runze; Jermiin, Lars S

Dziak, John J; Coffman, Donna L; Lanza, Stephanie T; Li, Runze; Jermiin, Lars S.

Afiliação

Dziak JJ; Methodology Center at Penn State.
Coffman DL; Department of Epidemiology and Biostatistics at Temple University.
Lanza ST; Department of Biobehavioral Health and a principal investigator at the Methodology Center.
Li R; Department of Statistics and a principal investigator in the Methodology Center at Penn State.
Jermiin LS; Research School of Biology at the Australian National University and a visiting researcher at the Earth Institute and School of Biology and Environmental Science, University College Dublin.

Brief Bioinform ; 21(2): 553-565, 2020 03 23.

Article em En | MEDLINE | ID: mdl-30895308

Assuntos

Biologia Computacional/métodos; Modelos Teóricos; Teorema de Bayes; Funções Verossimilhança; Tamanho da Amostra

Palavras-chave

Akaike information criterion; Bayesian information criterion; latent class analysis; likelihood ratio testing; model selection

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article

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