Exposure effects on count outcomes with observational data, with application to incarcerated women-Reference-Cited by-同舟云学术

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Exposure effects on count outcomes with observational data, with application to incarcerated women

Published:2024-09-01 Issue:3 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Shook-Sa Bonnie E.¹,Hudgens Michael G.¹,Knittel Andrea K.²,Edmonds Andrew³,Ramirez Catalina²,Cole Stephen R.³,Cohen Mardge⁴,Adedimeji Adebola⁵,Taylor Tonya⁶,Michel Katherine G.⁷,Kovacs Andrea⁸,Cohen Jennifer⁹,Donohue Jessica¹⁰,Foster Antonina¹¹,Fischl Margaret A.¹²,Long Dustin¹³,Adimora Adaora A.²

Affiliation:

1. Department of Biostatistics, University of North Carolina at Chapel Hill

2. School of Medicine, University of North Carolina at Chapel Hill

3. Department of Epidemiology, University of North Carolina at Chapel Hill

4. Stroger Hospital

5. Albert Einstein College of Medicine

6. SUNY Downstate Medical Center

7. Department of Infectious Diseases, Georgetown University

8. Keck School of Medicine, University of Southern California

9. Department of Medicine, University of California, San Francisco

10. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health

11. Department of Medicine, Emory University

12. Division of Infectious Diseases, University of Miami Miller School Medicine

13. The University of Alabama at Birmingham

Publisher

Institute of Mathematical Statistics

Reference52 articles.

1. BANG, H. and ROBINS, J. M. (2005). Doubly robust estimation in missing data and causal inference models. Biometrics 61 962–973.

2. NORTON, E. C., DOWD, B. E. and MACIEJEWSKI, M. L. (2018). Odds ratios-current best practice and use. JAMA 320 84–85.

3. TAUBMAN, S. L., ROBINS, J. M., MITTLEMAN, M. A. and HERNÁN, M. A. (2009). Intervening on risk factors for coronary heart disease: An application of the parametric g-formula. Int. J. Epidemiol. 38 1599–1611.

4. VANDERWEELE, T. J. (2009). Concerning the consistency assumption in causal inference. Epidemiology 20 880–883.

5. Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. J. Educ. Psychol. 66 688–701.

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