Assessing effect heterogeneity of a randomized treatment using conditional inference trees.

Venkatasubramaniam, Ashwini; Koch, Brandon; Erickson, Lauren; French, Simone; Vock, David; Wolfson, Julian

Venkatasubramaniam, Ashwini; Koch, Brandon; Erickson, Lauren; French, Simone; Vock, David; Wolfson, Julian.

Afiliación

Venkatasubramaniam A; 522468The Alan Turing Institute, The British Library, London, UK.
Koch B; School of Community Health Sciences, 6851University of Nevada, Reno, USA.
Erickson L; 51441HealthPartners Institute for Education and Research, Minnesota, USA.
French S; Division of Epidemiology and Community Health, School of Public Health, 43353University of Minnesota, Minneapolis, USA.
Vock D; Division of Biostatistics, School of Public Health, 43353University of Minnesota, Minneapolis, USA.
Wolfson J; Division of Biostatistics, School of Public Health, 43353University of Minnesota, Minneapolis, USA.

Stat Methods Med Res ; 31(3): 549-562, 2022 03.

Article en En | MEDLINE | ID: mdl-34747281

Asunto(s)

Proyectos de Investigación; Simulación por Computador; Humanos; Probabilidad

Palabras clave

Causal effects; conditional inference trees; matching; treatment effect heterogeneity

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Stat Methods Med Res Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

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