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Methods for using Clinical Laboratory Test Results as Baseline Confounders in Multi-Site Observational Database Studies when Missing Data are Expected

Basic Details
Date
Type
Publication
Description

The purpose of this study was to quantify missing baseline laboratory results, assess predictors of missingness, and examine performance of missing data methods.

Materials

Pharmacoepidemiology and Drug Safety; Volume 25, Issue 7, May 2016, Pages 798-814, DOI: 10.1002/pds.4015

Related Assessment(s)
Analytic Methods for Using Laboratory Test Results In Active Database Surveillance
Author(s)

Marsha A. Raebel PharmD, Susan Shetterly MS, Christine Y. Lu PhD, MSc, James S. Flory MD, MS, Joshua J. Gagne PharmD, ScD, Frank E. Harrell PhD, Kevin Haynes PharmD, MSCE, Lisa J. Herrinton PhD, Elisabetta Patorno MD, DrPH, Jennifer Popovic DVM, MA, Mano Selvan PhD, Azadeh Shoaibi PhD, MHS, Xingmei Wang MS, Jason Roy PhD

Corresponding Author

M. A. Raebel, Institute for Health Research, Kaiser Permanente Colorado, PO Box 378066, Denver, CO 80237, USA. Email: Marsha.A.Raebel@kp.org