A structural approach to selection bias

Epidemiology

Volumn 15, Issue 5, 2004, Pages 615-625

  Hernán, Miguel A ^a   Hernández Díaz, Sonia ^b   Robins, James M ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; EPIDEMIOLOGY; HEALTH HAZARD; OUTCOMES RESEARCH; PRIORITY JOURNAL; RISK FACTOR; CASE CONTROL STUDY; ENVIRONMENTAL EXPOSURE; EVALUATION; GENERAL ASPECTS OF DISEASE; HUMAN; LONGITUDINAL STUDY; RESEARCH; RESEARCH SUBJECT; THEORETICAL MODEL;

CASE-CONTROL STUDIES; DISEASE; ENVIRONMENTAL EXPOSURE; EPIDEMIOLOGIC METHODS; EPIDEMIOLOGIC RESEARCH DESIGN; EVALUATION STUDIES; HUMANS; LONGITUDINAL STUDIES; MODELS, THEORETICAL; RESEARCH; RESEARCH SUBJECTS; RISK FACTORS; SELECTION BIAS;

EID: 13944279789     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.ede.0000135174.63482.43     Document Type: Article

References (27)

1. Rothman KJ, Greenland S. Modern Epidemiology, 2nd ed. Philadelphia: Lippincott-Raven; 1998.
2. Szklo MO, Nieto FJ. Epidemiology. Beyond the Basics. Gaithersburg, MD: Aspen; 2000.
3. MacMahon B, Trichopoulos D. Epidemiology. Principles & Methods, 2nd ed. Boston: Little, Brown and Co; 1996.
4. Hennekens CH, Buring JE. Epidemiology in Medicine. Boston: Little, Brown and Co; 1987.
5. Gordis L. Epidemiology. Philadelphia: WB Saunders Co; 1996.
6. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10:37-48.
7. Robins JM. Data, design, and background knowledge in etiologic inference. Epidemiology. 2001;11:313-320.
8. Hernán MA, Hernández-Diaz S, Werler MM, et al. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002;155:176-184.
9. Cole SR, Hernán MA. Fallibility in the estimation of direct effects. Int J Epidemiol. 2002;31:163-165.
10. Maclure M, Schneeweiss S. Causation of bias: the episcope. Epidemiology. 2001;12:114-122.
11. Greenland S, Brumback BA. An overview of relations among causal modeling methods. Int J Epidemiol. 2002;31:1030-1037.
12. Greenland S. Quantifying biases in causal models: classical confounding versus collider-stratification bias. Epidemiology. 2003;14:300-306.
13. Pearl J. Causal diagrams for empirical research. Biometrika. 1995;82:669-710.
14. Spirtes P, Glymour C, Schemes R. Causation, Prediction, and Search. Lecture Notes in Statistics 81. New York: Springer-Verlag; 1993.
15. Berkson J. Limitations of the application of fourfold table analysis to hospital data. Biometrics. 1946;2:47-53.
16. Greenland S, Neutra RR. An analysis of detection bias and proposed corrections in the study of estrogens and endometrial cancer. J Chronic Dis. 1981;34:433-438.
17. Robins JM. A new approach to causal inference in mortality studies with a sustained exposure period-application to the healthy worker survivor effect [published errata appear in Mathematical Modelling. 1987;14:917-921]. Mathematical Modelling. 1986;7:1393-1512.
18. Robins JM. A new approach to causal inference in mortality studies with a sustained exposure period-application to the healthy worker survivor effect [published errata appear in Mathematical Modelling. 1987;14:917-921]. Mathematical Modelling. 1986;7:1393-1512.
19. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3:143-155.
20. Robins JM. Causal inference from complex longitudinal data. In: Berkane M, ed. Latent Variable Modeling and Applications to Causality. Lecture Notes in Statistics 120. New York: Springer-Verlag; 1997:69-117.
21. Horvitz DG, Thompson DJ. A generalization of sampling without replacement from a finite universe. J Am Stat Assoc. 1952;47:663-685.
22. Robins JM, Finkelstein DM. Correcting for noncompliance and dependent censoring in an AIDS clinical trial with inverse probability of censoring weighted (IPCW) log-rank tests. Biometrics. 2000;56:779-788.
23. Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11:561-570.
24. Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11:550-560.
25. Greenland S. Causality theory for policy uses of epidemiologic measures. In: Murray CJL, Salomon JA, Mathers CD, et al., eds. Summary Measures of Population Health. Cambridge, MA: Harvard University Press/WHO; 2002.
26. Walker AM. Observation and Inference: An introduction to the Methods of Epidemiology. Newton Lower Falls: Epidemiology Resources Inc; 1991.
27. Greenland S. Absence of confounding does not correspond to collapsibility of the rate ratio or rate difference. Epidemiology. 1996;7:498-501.