Publications

print share
Version HistoryVersion History

Title

Selection Bias Modeling Using Observed Data Augmented with Imputed Record-Level Probabilities (Annals of Epidemiology)

Publication Topics

Health Care Economics; Data Sources

Publication Type

Journal Article

Publication Date

2014-10-03T07:00:00Z

Author 1

<a onclick="OpenPopUpPage('http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=1337&RootFolder=*', RefreshPage); return false;" href="http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=1337&RootFolder=*">Caroline Thompson</a>

Author 2

<a onclick="OpenPopUpPage('http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=79&RootFolder=*', RefreshPage); return false;" href="http://healthpolicy.ucla.edu/_layouts/listform.aspx?PageType=4&ListId={7AAD61FA-4BCB-48C0-B0B7-87AFDC3673EF}&ID=79&RootFolder=*">Onyebuchi A. Arah, MD, PhD, MPH</a>

Author 3

Author 4

Author 5

Author 6

Author 7

Author 8

Author 9

Author 10

Author 11

Author 12

Author 13

Author 14

Abstract

The study demonstrate the use of inverse probability weighting and externally obtained bias parameters to perform internal adjustment of selection bias in studies lacking covariate data on unobserved participants.

The "true" or selection-adjusted odds ratio for the association between exposure and outcome was successfully obtained by analyzing only data on those in the selected stratum (i.e., responders) weighted by the inverse probability of their being selected as function of their observed covariate data.

This internal adjustment technique using user-supplied bias parameters and inverse probability weighting for selection bias can be applied to any type of observational study.

Thumbnail

Article 1

Journal Article: Selection Bias Modeling Using Observed Data Augmented with Imputed Record-Level Probabilities

Article 2

Article 3

Article 4

Article 5

Article 6

Article 7

Article 8

Article 9

Article 10

Article 11

Article 12

Press Release

Related Link 1

Related Link 2

Related Link 3

Related Link 4

Related Link 5

Related Link 6

Related Link 7

Related Link 8

Related Link 9

Related Link 10

Related Link 11

Related Link 12

Related Link 13

Related Link 14

Related Link 15

Related Link 16

Version: 4.0
Created at 6/16/2016 1:35 PM by i:0#.f|uclachissqlmembershipprovider|celeste
Last modified at 6/16/2016 1:38 PM by i:0#.f|uclachissqlmembershipprovider|celeste