Practical considerations for specifying a super learner.

Phillips, Rachael V; van der Laan, Mark J; Lee, Hana; Gruber, Susan

Phillips, Rachael V; van der Laan, Mark J; Lee, Hana; Gruber, Susan.

Afiliação

Phillips RV; Division of Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, California, United States.
van der Laan MJ; Division of Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, California, United States.
Lee H; Office of Biostatistics, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, Maryland, United States.
Gruber S; Putnam Data Sciences, LLC, Cambridge, Massachusetts, United States.

Int J Epidemiol ; 52(4): 1276-1285, 2023 08 02.

Article em En | MEDLINE | ID: mdl-36905602

Assuntos

Algoritmos; Aprendizado de Máquina; Humanos

Palavras-chave

Super learner; causal inference; disease epidemiology; ensemble machine learning; health outcomes; model validation; prediction; risk assessment; stacking; statistical data analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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