Practical recommendations on double score matching for estimating causal effects.

Zhang, Yunshu; Yang, Shu; Ye, Wenyu; Faries, Douglas E; Lipkovich, Ilya; Kadziola, Zbigniew

Zhang, Yunshu; Yang, Shu; Ye, Wenyu; Faries, Douglas E; Lipkovich, Ilya; Kadziola, Zbigniew.

Afiliación

Zhang Y; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA.
Yang S; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA.
Ye W; Eli Lilly and Company, Indianapolis, Indiana, USA.
Faries DE; Eli Lilly and Company, Indianapolis, Indiana, USA.
Lipkovich I; Eli Lilly and Company, Indianapolis, Indiana, USA.
Kadziola Z; Eli Lilly and Company, Indianapolis, Indiana, USA.

Stat Med ; 41(8): 1421-1445, 2022 04 15.

Article en En | MEDLINE | ID: mdl-34957585

Asunto(s)

Causalidad; Sesgo; Simulación por Computador; Humanos; Puntaje de Propensión

Palabras clave

average treatment effect on the treated; causal inference; double robustness; prognostic score; propensity score

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Causalidad Tipo de estudio: Clinical_trials / Guideline / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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