Antiretroviral therapy and mortality in rural South Africa: a comparison of causal modeling approaches

Abstract. Estimation of causal effects from observational data is a primary goal of epidemiology. The use of multiple methods with different assumptions relati

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Bibliographic Details
Main Authors:	Oldenburg, Catherine (Author) , Seage, George R. (Author) , Tanser, Frank (Author) , De Gruttola, Victor (Author) , Mayer, Kenneth H. (Author) , Mimiaga, Matthew J. (Author) , Bor, Jacob (Author) , Bärnighausen, Till (Author)
Format:	Article (Journal)
Language:	English
Published:	[2018]
In:	American journal of epidemiology Year: 2018, Volume: 187, Issue: 8, Pages: 1772-1779
ISSN:	1476-6256
DOI:	10.1093/aje/kwy065
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/aje/kwy065 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/aje/article/187/8/1772/4952669
Author Notes:	Catherine E. Oldenburg, George R. Seage, Frank Tanser, Victor De Gruttola, Kenneth H. Mayer, Matthew J. Mimiaga, Jacob Bor, and Till Bärnighausen

Description
Summary:	Abstract. Estimation of causal effects from observational data is a primary goal of epidemiology. The use of multiple methods with different assumptions relati
Item Description:	Advance access publication: March 23, 2018 Gesehen am 24.03.2020
Physical Description:	Online Resource
ISSN:	1476-6256
DOI:	10.1093/aje/kwy065