Using structural-nested models to estimate the effect of cluster-level adherence on individual-level outcomes with a three-armed cluster-randomized trial

Author:

Brumback Babette A.1,He Zhulin2,Prasad Mansi1,Freeman Matthew C.3,Rheingans Richard4

Affiliation:

1. Department of Biostatistics; University of Florida; Gainesville, FL 32611 U.S.A.

2. National Institutes of Statistical Sciences; 19 T.W. Alexander Drive, PO Box 14006, Research Triangle Park, NC 27709 U.S.A.

3. Department of Environmental Health, Rollins School of Public Health; Emory University; Atlanta, GA 30322 U.S.A.

4. Department of Environmental and Global Health; University of Florida; Gainesville, FL 32611 U.S.A.

Funder

National Science Foundation

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference43 articles.

1. Assessing the impact of a school-based water treatment, hygiene and sanitation programme on pupil absence in Nyanza Province, Kenya: a cluster-randomized trial;Freeman;Tropical Medicine and International Health,2012

2. He Z Causal inference with complex sampling designs Doctoral Dissertation 2012 http://ufdc.ufl.edu/UFE0044538/00001

3. Use of instrumental variables in the analysis of generalized linear models in the presence of unmeasured confounding with applications to epidemiological research;Johnston;Statistics in Medicine,2008

4. Instrumental variable analysis for estimation of treatment effects with dichotomous outcomes;Rassen;American Journal of Epidemiology,2009

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