Inverse probability weighted Cox model in multi-site studies without sharing individual-level data.

Shu, Di; Yoshida, Kazuki; Fireman, Bruce H; Toh, Sengwee

Shu, Di; Yoshida, Kazuki; Fireman, Bruce H; Toh, Sengwee.

Afiliación

Shu D; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA.
Yoshida K; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
Fireman BH; Division of Research, Kaiser Permanente Northern California, Oakland, USA.
Toh S; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA.

Stat Methods Med Res ; 29(6): 1668-1681, 2020 06.

Article en En | MEDLINE | ID: mdl-31448681

Asunto(s)

Análisis de Datos; Proyectos de Investigación; Probabilidad; Modelos de Riesgos Proporcionales

Palabras clave

Cox model; distributed data networks; inverse probability weighting; multi-site study; privacy protection; risk set

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Análisis de Datos Tipo de estudio: Prognostic_studies Idioma: En Revista: Stat Methods Med Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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