Bringing causal models into the mainstream

Epidemiology

Volumn 20, Issue 3, 2009, Pages 431-432

  Hogan, Joseph W ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIVIRAL THERAPY; CAUSAL MODELING; CONFOUNDING VARIABLE; DATA BASE; EXPOSURE VARIABLE; HEALTH SURVEY; HUMAN IMMUNODEFICIENCY VIRUS; INFERENTIAL STATISTICS; LEISURE; LONGITUDINAL STUDY; NOTE; OBSERVATIONAL METHOD; PHYSICAL ACTIVITY; PRIORITY JOURNAL; PROBABILITY; RANDOMIZATION; REGRESSION ANALYSIS; SAMPLING; SCORING SYSTEM; SENSITIVITY ANALYSIS; STATISTICAL MODEL;

CAUSALITY; EPIDEMIOLOGIC STUDIES; MODELS, THEORETICAL;

EID: 67651124882     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/EDE.0b013e3181a0997a     Document Type: Note

References (7)

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2. Rubin DB. Comment: Neyman (1923) and causal inference in experiments and observational studies. Stat Sci. 1990;5:472-480.
3. van der Laan MJ, Robins JM. Unified Methods for Censored Longitudinal Data and Causality. New York: Springer Verlag; 2003.
4. Pearl J. Causal inference in the health sciences: a conceptual introduction. Health Serv Outcomes Res Methodol. 2002;2:189-220.
5. Hernan MA, Robins JM. Estimating causal effects from epidemiological data. J Epidemiol Community Health. 2006;60:578-586.
6. Robins JM. Association, causation and marginal structural models. Synthese. 1999;121:151-179.
7. Ko H, Hogan JW, Mayer KH. Estimating causal treatment effects from longitudinal HIV natural history studies. Biometrics. 2003;59:152-162.