The study of group-level factors in epidemiology: Rethinking variables, study designs, and analytical approaches

Epidemiologic Reviews

Volumn 26, Issue , 2004, Pages 104-111

  Roux, Ana V Diez ^a,b  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL ERROR; CALCULATION; ECOLOGY; EMPIRICISM; EPIDEMIOLOGICAL DATA; MATHEMATICAL MODEL; MEDICAL RESEARCH; METHODOLOGY; PRIORITY JOURNAL; REVIEW;

COHORT STUDIES; DATA COLLECTION; EPIDEMIOLOGIC METHODS; EPIDEMIOLOGIC RESEARCH DESIGN; HUMANS; RISK FACTORS; SAMPLE SIZE;

EID: 3042848980     PISSN: 0193936X     EISSN: None     Source Type: Journal    
DOI: 10.1093/epirev/mxh006     Document Type: Review

References (78)

1. Susser M. The logic in ecological. I. The logic of analysis. Am J Public Health 1994;84:825-9.
2. Schwartz S. The fallacy of the ecological fallacy: the potential misuse of a concept and its consequences. Am J Public Health 1994;84:819-24.
3. Diez-Roux AV. Bringing context back into epidemiology: variables and fallacies in multilevel analysis. Am J Public Health 1998;88:216-22.
4. Blakely TA, Woodward AJ. Ecological effects in multi-level studies. J Epidemiol Community Health 2000;54:367-74.
5. Von Korff M, Koepsell T, Curry S, et al. Multi-level research in epidemiologic research on health behaviors and outcomes. Am J Epidemiol 1992;135:1077-82.
6. Macintyre S, Ellaway A. Ecological approaches: rediscovering the role of the physical and social environment. In: Berkman L, Kawachi I, eds. Social epidemiology. New York, NY: Oxford University Press, 2000.
7. Lynch J, Harper S, Davey Smith G. Commentary: plugging leaks and repelling boarders-where to next for the SS income inequality? Int J Epidemiol 2003;32:1029-36.
8. Subramanian S, Kawachi I. Response: in defence of the income inequality hypothesis. Int J Epidemiol 2003;32:1037-40.
9. Kawachi I, Kennedy BP, Glass R. Social capital and self-rated health: a contextual analysis. Am J Public Health 1999;89:1187-93.
10. Lynch J, Due P, Muntaner C, et al. Social capital - is it a good investment strategy for public health? J Epidemiol Community Health 2000;54:404-8.
11. Oakes MJ. The (mis)estimation of neighborhood effects. Soc Sci Med (in press).
12. Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health 2001;55:111-22.
13. Subramanian S. The relevance of multilevel statistical methods for identifying causal neighborhood effects. Soc Sci Med 2004;58:1961-7.
14. Diez Roux AV. Estimating neighborhood health effects: the challenges of causal inference in a complex world. Soc Sci Med 2004;58:1953-60.
15. Diez Roux AV. Multilevel analysis in public health research. Annu Rev Public Health 2000;21:171-92.
16. Duncan C, Jones K, Moon G. Context, composition and heterogeneity: using multilevel models in health research. Soc Sci Med 1998;46:97-117.
17. Diez Roux AV, Schwartz S, Susser E. Ecologic studies and ecologic variables in public health research. In: Detels R, McEwen J, Beaglehole R, et al, eds. The Oxford textbook of public health, London, United Kingdom: Oxford University Press, 2002.
18. Rose G. Sick individuals and sick populations. Int J Epidemiol 1985;14:32-8,
19. Morgenstern H. Ecologic studies in epidemiology: concepts, principles, and methods, Annu Rev Public Health 1995;16:61-81.
20. Fine PE. Herd immunity: history, theory, practice. Epidemiol Rev 1993;15:265-302.
21. Schwartz S, Carpenter KM. The right answer for the wrong question: consequences of type HI error for public health research. Am J Public Health 1999;89:1175-80.
22. Susser M. The logic in ecological. II. The logic of design. Am J Public Health 1994;84:830-5.
23. Greenland S. A review of multilevel theory for ecologic analyses. Stat Med 2002;21:389-95.
24. Subramanian SV. Multilevel methods for public health research. In: Kawachi I, Berkman L, eds. Neighborhoods and health. New York, NY: Oxford University Press, 2003.
25. Blalock H, Contextual-effects models: theoretical and methodological issues Annu Rev Sociol 1984;10:353-72.
26. Diez Roux AV. A glossary for multilevel analysis. J Epidemiol Community Health 2002;56:588-94.
27. Soobader M, LeClere FB, Hadden W, et al. Using aggregate geographic data to proxy individual socioeconomic status: does size matter? Am J Public Health 2001;91:632-6.
28. Geronimus AT, Bound J. Use of census-based aggregate variables to proxy for socioeconomic group: evidence from national samples. Am J Epidemiol 1998;148:475-86.
29. Hiller J, McMichael A. Ecological studies. In: Margetts B, Nelson M, eds. Design concepts in nutritional epidemiology. Oxford, United Kingdom: Oxford University Press, 1991:323-53.
30. Geronimus A, Bound J, Neidert L. On the validity of using census geocode characteristics to proxy individual socioeconomic characteristics. J Am Stat Assoc 1996;91:529-37.
31. Valkonen T. Individual and structural effects in ecological research. In: Dogan M, Rokkam S, eds. Social ecology. Boston, MA: MIT Press, 1969:53-68.
32. Lazarsfeld P, Menzel H. On the relation between individual and collective properties. In: Etzioni A, ed. A sociological reader on complex organizations. New York, NY: Holt, Rinehart, and Winston, Inc, 1971:499-516.
33. Macintyre S, Ellaway A, Cummins S. Place effects on health: how can we conceptualise, operationalise and measure them? Soc Sci Med 2002;55:125-39.
34. Diez Roux AV. Investigating neighborhood and area effects on health. Am J Public Health 2001;91:1783-9.
35. Robinson W. Ecological correlations and the behavior of individuals. Am Sociol Rev 1950;15:351-7.
36. Piantadosi S, Byar DP, Green SB. The ecological fallacy. Am J Epidemiol 1988;127:893-904.
37. Greenland S, Morgenstern H. Ecological bias, confounding, and effect modification. Int J Epidemiol 1989;18:269-74.
38. Firebaugh G. A rule for inferring individual-level relationships from aggregate data. Am Sociol Rev 1978;43:557-72.
39. Hammond J. Two sources of error in ecological correlations. Am Sociol Rev 1973;38:764-77.
40. Iversen G. Contextual analysis. Newbury Park, CA: Sage Publications, 1991.
41. Scheuch E, Social context and individual behavior. In: Dogan M, Rokkam S, eds, Social ecology. Boston, MA: MIT Press, 1969:133-55.
42. Diggle PJ, Liang KY, Zeger SL. Analysis of longitudinal data. New York, NY: Oxford University Press, 2002.
43. Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics 1988;44:1049-60.
44. Brown H, Prescott R. Applied mixed models in medicine. New York, NY: Wiley, 1999.
45. Raudenbush SW, Bryk AS. Hierarchical linear models: applications and data analysis methods. London, United Kingdom: Sage, 2002.
46. Goldstein H. Multilevel statistical models, New York, NY: Halsted Press, 1995.
47. Snijders TAB, Bosker R, Multilevel analysis: an introduction to basic and advanced multilevel modeling. London, United Kingdom: Sage, 1999.
48. DiPrete TA, Forristal JD. Multilevel models: methods and substance. Annu Rev Sociol 1994;20:331-57.
49. Mason W, Wong G, Entwisle B, Contextual analysis through the multilevel linear model, In: Leinhardt S, ed. Sociological methodology. San Francisco, CA: Josey Bass, 1983:72-103.
50. Kreft I, deLeeuw J. Introducing multilevel modeling. London, United Kingdom: Sage, 1998,
51. Laird N, Ware H. Random effects models for longitudinal data. Biometrics 1982;38:963-74.
52. Longford N. Random coefficient models. Oxford, United Kingdom: Clarendon, 1982.
53. Dempster A, Rubin D, Tsutakawa R. Estimation in covariance component models. J Am Stat Assoc 1981;76:341-56.
54. Searle S. Variance components. New York, NY: Wiley, 1992.
55. Goldstein H. Multilevel cross-classified models. Soc Methods Res 1994;22:364-75.
56. O'Campo P. Invited commentary: advancing theory and methods for multilevel models of residential neighborhoods and health. Am J Epidemiol 2003;157:9-13.
57. Macintyre S, Ellaway A. Neighborhoods and health: an overview. In: Kawachi I, Berkman L, eds. Neighborhoods and health. New York, NY: Oxford University Press, 2003:20-44.
58. Balfour JL, Kaplan GA. Neighborhood environment and loss of physical function in older adults: evidence from the Alameda County Study. Am J Epidemiol 2002;155:507-15.
59. Diez Roux AV, Merkin SS, Arnett D, et al. Neighborhood of residence and incidence of coronary heart disease. N Engl J Med 2001;345:99-106.
60. Yen IH, Kaplan GA. Neighborhood social environment and risk of death: multilevel evidence from the Alameda County Study. Am J Epidemiol 1999;149:898-907.
61. Sloggett A, Joshi H. Deprivation indicators as predictors of life events 1981-1992 based on the UK ONS Longitudinal Study. J Epidemiol Community Health 1998;52:228-33.
62. Raudenbush SW, Liu X. Statistical power and optimal design for multisite randomized trials. Psychol Methods 2000;5:199-213.
63. Hox JP. Multilevel analysis: techniques and applications. Manwah, NJ: Lawrence Erlbaum, 2002.
64. Raudenbush SW, Sampson RJ. Ecometrics: toward a science of assessing ecological settings, with application to the systematic social observation of neighborhoods. Sociol Methodol 1999;29:1-41.
65. Raudenbush S. The quantitative assessment of neighborhood social environments. In: Kawachi I, Berkman L, eds. Neighborhoods and health. New York, NY: Oxford University Press, 2003:112-31.
66. Hauser R. Context and consex: a cautionary tale. Am J Sociol 1970;75:645-64.
67. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology 1992;3:143-55.
68. Cole SR, Hernan MA. Fallibility in estimating direct effects. Int J Epidemiol 2002;31:163-5.
69. Blakely T. Commentary: estimating direct and indirect effects-fallible in theory, but in the real world? Int J Epidemiol 2002;31:166-7.
70. Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology 2000;11:550-60.
71. Robins J. The control of confounding by intermediate variables. Stat Med 1989;8:679-701.
72. Koopman JS, Lynch JW. Individual causal models and population system models in epidemiology. Am J Public Health 1999;89:1170-4.
73. Loomis D, Wing S. Is molecular epidemiology a germ theory for the end of the twenfieth century? Int J Epidemiol 1990;19:1-3.
74. Hood L. Systems biology: integrating technology, biology, and computation. Mech Ageing Dev 2003;124:9-16.
75. Ideker T, Galitski T, Hood L. A new approach to decoding life: systems biology. Annu Rev Genomics Hum Genet 2001;2:343-72.
76. Rubin DB. Estimating causal effects from large data sets using propensity scores. Ann Intem Med 1997;127:757-63.
77. Harding DJ. Counterfactual models of neighborhood effects: the effect of neighborhood poverty on high school dropout and tennage pregnancy. Am J Sociol 2003;109:676-719.
78. Manski CF, Gaffinkel I. Introduction. In: Manski CF, Gaffinkel I, eds. Evaluating welfare and training programs. Cambridge, MA: Harvard University Press, 1992:1-24,