Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio.

Zhang, Bo; Heng, Siyu; MacKay, Emily J; Ye, Ting

Zhang, Bo; Heng, Siyu; MacKay, Emily J; Ye, Ting.

Afiliación

Zhang B; Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Heng S; Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
MacKay EJ; Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ye T; Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Biometrics ; 78(4): 1639-1650, 2022 12.

Article en En | MEDLINE | ID: mdl-34051117

Asunto(s)

Cooperación del Paciente; Proyectos de Investigación; Humanos

Palabras clave

heterogeneous treatment effect; instrumental variable; mixed-integer programming; randomization-based inference; statistical matching

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Cooperación del Paciente Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Biometrics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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