Work

A Note on the Bias of Estimators with Missing Data

Year: 1994

Type: article

Source: Biometrics

DOI: 10.2307/2533454

Authors: Andrea Rotnitzky, David Wypij

Institution: Harvard University

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

Funders: Electric Power Research Institute, National Institutes of Health, National Institute of General Medical Sciences, National Institute of Environmental Health Sciences

Awards: Harvard Chan School NIEHS Center for Environmental Health, METHODS FOR ANALYZING LONGITUDINAL DATA WITH MISSINGNESS, EFFECTS OF SO2 AND RESPIRABLE PARTICULATES ON HEALTH, G6101202192, G723185991

OpenAlex ID: W2075622032

FWCI: 2.703

Cites: 14

Cited by: 110

Related to: 10