Work

Methods for using clinical laboratory test results as baseline confounders in multi‐site observational database studies when missing data are expected

Year: 2016

Type: article

Source: Pharmacoepidemiology and Drug Safety

DOI: 10.1002/pds.4015

Authors: Marsha A. Raebel, Susan Shetterly, Christine Y. Lu, James Flory, Joshua J. Gagne, Frank E. Harrell, Kevin Haynes, Lisa J. Herrinton, Elisabetta Patorno, Jennifer Popovic, Mano Selvan, Azadeh Shoaibi, Xingmei Wang, Jason Roy

Institutions: Kaiser Permanente, Harvard University, Harvard Pilgrim Health Care, Weill Cornell Medicine, Brigham and Women's Hospital, Vanderbilt University, Vanderbilt University Medical Center, Carelon Research (United States), Kaiser Permanente Northern California, Humana (United States), United States Food and Drug Administration, Center for Drug Evaluation and Research, University of Pennsylvania

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: U.S. Food and Drug Administration, Agency for Healthcare Research and Quality

Awards: G271339886, G4294852106

OpenAlex ID: W2345420439

FWCI: 2.025

Cites: 59

Cited by: 14

Related to: 10