Adjusting for unmeasured confounding due to either of two crossed factors with a logistic regression model-Reference-Cited by-同舟云学术

Adjusting for unmeasured confounding due to either of two crossed factors with a logistic regression model

Published:2016-02-19 Issue:18 Volume:35 Page:3179-3188
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Li Li¹,Brumback Babette A.¹,Weppelmann Thomas A.²,Morris J.Glenn²,Ali Afsar²³

Affiliation:

1. Department of Biostatistics, College of Public Health and Health Professions, College of Medicine University of Florida Gainesville 32611 FL U.S.A.

2. Emerging Pathogens Institute University of Florida Gainesville 32611 FL U.S.A.

3. Department of Environmental and Global Health, College of Public Health and Health Professions University of Florida Gainesville 32611 FL U.S.A.

Funder

National Science Foundation

U.S. Social Security Administration

USDA/National Agricultural Statistics

Department of Education/National Center for Educational Statistics

Department of Agriculture/Economic Research Service

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.6916

Reference31 articles.

1. Monitoring Water Sources for Environmental Reservoirs of ToxigenicVibrio choleraeO1, Haiti

2. Categorical Data Analysis

3. Conditional Logistic Regression With Survey Data

4. Adjusting for confounding by neighborhood using complex survey data

5. Conditional pseudolikelihood methods for clustered ordinal, multinomial, or count outcomes with complex survey data

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