An Illustration of Inverse Probability Weighting to Estimate Policy-Relevant Causal Effects.

Edwards, Jessie K; Cole, Stephen R; Lesko, Catherine R; Mathews, W Christopher; Moore, Richard D; Mugavero, Michael J; Westreich, Daniel

Edwards, Jessie K; Cole, Stephen R; Lesko, Catherine R; Mathews, W Christopher; Moore, Richard D; Mugavero, Michael J; Westreich, Daniel.

Am J Epidemiol ; 184(4): 336-44, 2016 08 15.

Article in En | MEDLINE | ID: mdl-27469514

Subject(s)

Anti-Retroviral Agents/therapeutic use; HIV Infections/mortality; HIV Seropositivity/drug therapy; Probability; CD4 Lymphocyte Count; Female; Follow-Up Studies; HIV Infections/drug therapy; Humans; Incidence; Kaplan-Meier Estimate; Male; Risk; Time-to-Treatment; United States/epidemiology

Key words

HIV; antiretroviral therapy; causal inference; epidemiologic methods; intervention studies; policy; treatment guidelines

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Probability / HIV Seropositivity / Anti-Retroviral Agents Type of study: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: Am J Epidemiol Year: 2016 Document type: Article Country of publication: United States

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