Assessing Missing Data Assumptions in EHR-Based Studies: A Complex and Underappreciated Task

JAMA Netw Open. 2021 Feb 1;4(2):e210184. doi: 10.1001/jamanetworkopen.2021.0184.

Authors

Sebastien Haneuse^{1

2}, David Arterburn³, Michael J Daniels⁴

Affiliations

¹ Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
² Statistical Editor, JAMA Network Open.
³ Kaiser Permanente Washington Health Research Institute, Seattle.
⁴ Department of Statistics, University of Florida, Gainesville.

PMID: 33635321
DOI: 10.1001/jamanetworkopen.2021.0184

No abstract available

Publication types

Editorial

MeSH terms

Data Collection*
Electronic Health Records*
Humans
Patient Dropouts
Selection Bias
Statistics as Topic*