Improving reproducibility by using high-throughput observational studies with empirical calibration.

Schuemie, Martijn J; Ryan, Patrick B; Hripcsak, George; Madigan, David; Suchard, Marc A

Schuemie, Martijn J; Ryan, Patrick B; Hripcsak, George; Madigan, David; Suchard, Marc A.

Afiliación

Schuemie MJ; Observational Health Data Sciences and Informatics (OHDSI), New York, NY 10032, USA schuemie@ohdsi.org.
Ryan PB; Epidemiology Analytics, Janssen Research and Development, Titusville, NJ 08560, USA.
Hripcsak G; Observational Health Data Sciences and Informatics (OHDSI), New York, NY 10032, USA.
Madigan D; Epidemiology Analytics, Janssen Research and Development, Titusville, NJ 08560, USA.
Suchard MA; Department of Biomedical Informatics, Columbia University Medical Center, New York, NY 10032, USA.

Philos Trans A Math Phys Eng Sci ; 376(2128)2018 Sep 13.

Article en En | MEDLINE | ID: mdl-30082302

Palabras clave

medicine; observational research; publication bias; reproducibility

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

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