Causal inference in public health

Annual Review of Public Health

Volumn 34, Issue , 2013, Pages 61-75

  Glass, Thomas A ^a   Goodman, Steven N ^b   Hernán, Miguel A ^c,d   Samet, Jonathan M ^e  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b STANFORD UNIVERSITY   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Causal framework; Causal modeling; Causation; Epidemiology

Indexed keywords

ENVIRONMENTAL FACTOR; HEALTH SERVICE; HUMAN; PRIORITY JOURNAL; PUBLIC HEALTH; REVIEW; RISK FACTOR; SMOKING; STATISTICAL ANALYSIS;

CAUSALITY; HEALTH PROMOTION; HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); PUBLIC HEALTH;

EID: 84875434629     PISSN: 01637525     EISSN: 15452093     Source Type: Book Series    
DOI: 10.1146/annurev-publhealth-031811-124606     Document Type: Review

References (76)

1. Adler NE, Rehkopf DH. 2008. U.S. disparities in health: descriptions, causes, and mechanisms. Annu. Rev. Public Health 29:235-52
2. Baan R, Grosse Y, Lauby-Secretan B, El Ghissassi F, Bouvard V, et al. 2011. Carcinogenicity of radiofrequency electromagnetic fields. Lancet Oncol. 12:624-26
3. Bunge M. 2009. Causality and Modern Science. New Brunswick, NJ: Transaction
4. Dawid AP. 2000. Causal inference without counterfactuals. J. Am. Stat. Assoc. 95:407-24
5. Diez-Roux AV. 1998. Bringing context back into epidemiology: variables and fallacies in multilevel analysis. Am. J. Public Health 88:216-22
6. Diez Roux AV. 2004. Estimating neighborhood health effects: the challenges of causal inference in a complex world. Soc. Sci. Med. 58:1953-60
7. Diez Roux AV. 2011. Complex systems thinking and current impasses in health disparities research. Am. J. Public Health 101:1627-34
8. Evans AS. 1993. Causation and Disease: A Chronological Journey. New York: Plenum
9. Fisher RA. 1958. Cancer and smoking. Nature 182:596
10. Frieden TR, Mostashari F, Kerker BD, MillerN, Hajat A, FrankelM. 2005. Adult tobacco use levels after intensive tobacco control measures: New York City, 2002-2003. Am. J. Public Health 95:1016-23
11. FrostWH. 1936. Introduction. In Snow on Cholera: Being a Reprint of Two Papers, ed. J Snow, pp. IX-XXI. New York: Commonwealth Fund
12. Frumkin H. 2003. Healthy places: exploring the evidence. Am. J. Public Health 93:1451-56
13. Galea S, Riddle M, Kaplan GA. 2010. Causal thinking and complex system approaches in epidemiology. Int. J. Epidemiol. 39:97-106
14. Glass TA, McAtee MJ. 2006. Behavioral science at the crossroads in public health: extending horizons, envisioning the future. Soc. Sci. Med. 62:1650-71
15. Goldstein M, Goldstein IF. 1978. Snow on cholera. In How Do We Know: An Exploration of the Scientific Process, ed. M Goldstein, IF Goldstein, pp. 25-62. New York: Plenum
16. Green MD, Freedman DM, Gordis L. 2011. Reference guide on epidemiology. In Reference Manual on Scientific Evidence, ed. Fed. Judic. Cent., Natl. Res. Coun., pp. 549-632. Washington, DC: Natl. Acad. Press
17. Greenland S. 2000. An introduction to instrumental variables for epidemiologists. Int. J. Epidemiol. 29:722-29
18. Greenland S, Brumback B. 2002. An overview of relations among causal modelling methods. Int. J. Epidemiol. 31:1030-37
19. Greenland S, Pearl J, Robins JM. 1999. Causal diagrams for epidemiologic research. Epidemiology 10:37-48
20. Guyatt GH, Haynes RB, Jaeschke RZ, Cook DJ, Green L, et al. 2000. Users Guides to the Medical Literature: XXV. Evidence-based medicine: principles for applying the Users Guides to patient care. Evidence-Based MedicineWorking Group. JAMA 284:1290-96
21. Halloran ME, Struchiner CJ. 1995. Causal inference in infectious diseases. Epidemiology 6:142-51
22. Hamlin C. 1995. Could you starve to death in England in 1839? The Chadwick-Farr controversy and the loss of the "social" in public health. Am. J. Public Health 85:856-66
23. Hamlin CS. 2006. The history of methods of social epidemiology to 1965. In Methods in Social Epidemiology, ed. JM Oakes & J Kaufman, pp. 21-41. San Francisco:Wiley. 1st ed.
24. Hammond RA. 2009. Complex systems modeling for obesity research. Prev. Chronic. Dis. 6:A97
25. Hernán MA. 2004. A definition of causal effect for epidemiological research. J. Epidemiol. Community Health 58:265-71
26. Hernán MA. 2005. Invited commentary: hypothetical interventions to define causal effects-afterthought or prerequisite? Am. J. Epidemiol. 162:618-20; discussion 21-22
27. Hernán MA, Brumback B, Robins JM. 2001. Marginal structural models to estimate the joint causal effect of nonrandomized treatments. J. Am. Stat. Assoc. 96:440-48
28. Hernán MA, Cole SR, Margolick J, CohenM, Robins JM. 2005. Structural accelerated failure time models for survival analysis in studies with time-varying treatments. Pharmacoepidem. Drug Saf. 14:477-91
29. Hernán MA, Hernández-Diaz S, Robins JM. 2004. A structural approach to selection bias. Epidemiology 15:615-25
30. Hernán MA, Hernández-Diaz S, Werler MM, Mitchell AA. 2002. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am. J. Epidemiol. 155:176-84
31. Hernán MA, Robins JM. 2006. Instruments for causal inference: an epidemiologists dream? Epidemiology 17:360-72
32. Hernán MA, Taubman SL. 2008. Does obesity shorten life? The importance of well-defined interventions to answer causal questions. Int. J. Obes. (Lond.) 32(Suppl. 3):S8-14
33. Hill AB. 1965. The environment and disease: association or causation? Proc. R. Soc. Med. 58:295-300
34. Holland PW. 1986. Statistics and causal inference. J. Am. Stat. Assoc. 81:945-60
35. Huang TT, Drewnosksi A, Kumanyika S, Glass TA. 2009. A systems-oriented multilevel framework for addressing obesity in the 21st century. Prev. Chronic Dis. 6:A82
36. Hume D. 1896 [1739]. A Treatise of Human Nature, ed. LA Selby-Bigge. Oxford: Clarendon. Repr. Ed.
37. Inst. Med. (IOM). 2008. Improving the Presumptive Disability Decision-Making Process for Veterans, ed. JM Samet, CC Bodurow.Washington, DC: Natl. Acad. Press. 440 pp.
38. Inst. Med. (IOM), Div. Health Promot. Dis. Prev. 1994. Veterans and Agent Orange. Health Effects of Herbicides Used in Vietnam.Washington, DC: Natl. Acad. Press. 791 pp.
39. Int. Agency for Res. on Cancer (IARC). 2006. Preamble. In IARC Monographs on the Evaluation of Carcinogenic Risk to Humans, Vol. 86: Cobalt in Hard Metals and Cobalt Sulfate, Gallium Arsenide, Indium Phosphide and Vanadium Pentoxide. Lyon, Fr.:World Health Organ.
40. Int. Agency for Res. on Cancer (IARC). 2012. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. Lyon, Fr.: IARC. http://monographs.iarc.fr/
41. Kaufman JS, Cooper RS. 1999. Seeking causal explanations in social epidemiology. Am. J. Epidemiol. 150:113-20
42. Kaufman JS, Kaufman S. 2001. Assessment of structured socioeconomic effects on health. Epidemiology 12:157-67
43. Koopman J. 2002. Epidemiology. Controlling smallpox. Science 298:1342-44
44. Koopman JS. 2002. Modeling infection transmission-the pursuit of complexities that matter. Epidemiology 13:622-24
45. Koopman JS. 2005. Infection transmission science and models. Jpn. J. Infect. Dis. 58:S3-8
46. Krieger N. 1994. Epidemiology and the web of causation: Has anyone seen the spider? Soc. Sci. Med. 39:887-903
47. Lipton R, Ødegaard T. 2005. Causal thinking and causal language in epidemiology: Its in the details. Epidemiol. Perspect. Innov. 2:8
48. Macintyre S, Ellaway A, Cummins S. 2002. Place effects on health: How can we conceptualise, operationalise and measure them? Soc. Sci. Med. 55:125-39
49. Michaels D. 2008. Doubt Is Their Product: How Industrys Assault on Science Threatens Your Health. New York: Oxford Univ. Press. xii, 372 pp.
50. Morabia A, ed. 2004. A History of Epidemiologic Methods and Concepts. Basel: Birkhaüser
51. Splawa-Neyman J, Dabrowska DM, Speed TP. 1990. On the application of probability theory to agricultural experiments. Essay on principles (1923). Stat. Sci. 5:465-572
52. Pearl J. 1995. Causal diagrams for empirical research. Biometrika 82:669-710
53. PhillipsCV, Goodman KJ. 2004. Themissed lessons of Sir Austin BradfordHill. Epidemiol. Perspect. Innov. 1:3
54. Proctor RN. 2011. Golden Holocaust: Origins of the Cigarette Catastrophe and the Case for Abolition. Berkeley: Univ. Calif. Press
55. Robins J. 1986. A new approach to causal inference in mortality studies with a sustained exposure period- application to control of the healthy worker survivor effect. Math. Model. 7:1393-512
56. Robins JM. 1987. Errata to "a new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect" Mathl. Modelling 7(9-12), 1393-1512 (1986). Comput. Math. Appl. 14:917-21
57. Robins JM. 1993. Analytic methods for estimating HIV-treatment and cofactor effects. In Methodological Issues of AIDS Behavioral Research, ed. DG Ostrow, RC Kessler, pp. 213-90. New York: Plenum
58. Robins JM, Hernán MA, Brumback B. 2000. Marginal structural models and causal inference in epidemiology. Epidemiology 11:550-60
59. Rockhill B. 2005. Theorizing about causes at the individual level while estimating effects at the population level: implications for prevention. Epidemiology 16:124-29
60. Rosenbaum PR, Rubin DB. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70:41-55
61. Rubin DB. 1974. Estimating causal effects of treatments in randomized and nonrandomized studies. J. Educ. Psychol. 66:688-701
62. Rubin DB. 1978. Bayesian inference for causal effects: the role of randomization. Ann. Stat. 6:34-58
63. Rubin DB. 1997. Estimating causal effects from large data sets using propensity scores. Ann. Intern. Med. 127:757-63
64. Russell B. 1912. On the notion of cause. Proc. Aristot. Soc. 13:1-26
65. Samet JM, Wipfli HL. 2013. Ending the tobacco epidemic: from the genetic to the global level. In Structural Approaches in Public Health, ed. M Sommer, R Parker. New York: Routledge. In press
66. SusserM. 1997. Steps toward discovering causes: divergence and convergence of epidemiology and clinical medicine. Epidemiol. Prev. 21:160-68
67. Susser M, Stein Z. 2009. Eras in Epidemiology: The Evolution of Ideas. New York: Oxford Univ. Press
68. Taubman SL, Robins JM, Mittleman MA, Hernán MA. 2009. Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. Int. J. Epidemiol. 38:1599-611
69. Tchetgen EJ, VanderWeele TJ. 2012. On causal inference in the presence of interference. Stat. Methods Med. Res. 21:55-75
70. US Environ. Prot. Agency. 2009. Memorandum: Process for Reviewing National Ambient Air Quality Standards, L Jackson, May 21. Washington, DC: USEPA. http://www.epa.gov/ttn/naaqs/pdfs/NAAQSReviewProcessMemo52109.pdf
71. US Dep. Health Educ.Welf. (DHEW). 1964. Smoking and Health. Report of the Advisory Committee to the Surgeon General. Rep. DHEW Publ. No. [PHS] 1103. Washington, DC: US Gov. Print. Off.
72. US Court Fed. Claims. 2010. Cedillo v. Secretary of Health and Human Services. Case No. 2010-5004 (98-916V). Washington, DC: US Court Fed. Claims. http://www.uscfc.uscourts.gov/sites/default/files/cedillo.fedcir.pdf
73. Vandenbroucke JP. 2001. Changing images of John Snow in the history of epidemiology. Soz. Praventivmed. 46:288-93
74. Vandenbroucke JP, Eelkman Rooda HM, Beukers H. 1991. Who made John Snow a hero? Am. J. Epidemiol. 133:967-73
75. VanderWeele TJ. 2010. Direct and indirect effects for neighborhood-based clustered and longitudinal data. Sociol. Methods Res. 38:515-44
76. Vineis P. 1991. Causality assessment in epidemiology. Theor. Med. 12:171-81