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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Dettagli Bibliografici
Autori principali:	Oldenburg, Catherine (Autore) , Seage, George R. (Autore) , Tanser, Frank (Autore) , De Gruttola, Victor (Autore) , Mayer, Kenneth H. (Autore) , Mimiaga, Matthew J. (Autore) , Bor, Jacob (Autore) , Bärnighausen, Till (Autore)
Natura:	Article (Journal)
Lingua:	inglese
Pubblicazione:	[2018]
In:	American journal of epidemiology Year: 2018, Volume: 187, Fascicolo: 8, Pages: 1772-1779
ISSN:	1476-6256
DOI:	10.1093/aje/kwy065
Accesso online:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/aje/kwy065 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/aje/article/187/8/1772/4952669
Note sull'autore:	Catherine E. Oldenburg, George R. Seage, Frank Tanser, Victor De Gruttola, Kenneth H. Mayer, Matthew J. Mimiaga, Jacob Bor, and Till Bärnighausen

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