Attributable fraction estimation from complex sample survey data

Annals of Epidemiology

Volumn 25, Issue 3, 2015, Pages 174-178

  Heeringa, Steven G ^a   Berglund, Patricia A ^a   West, Brady T ^a   Mellipilán, Edmundo R ^a   Portier, Kenneth ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b AMERICAN CANCER SOCIETY   (United States)

Author keywords

Attributable fraction; Bootstrap; Cluster sampling; Complex sample design; Jackknife repeated replication; Population attributable risk; Stratified sampling; Weighting

Indexed keywords

ALCOHOLISM; ARTICLE; ATTRIBUTABLE FRACTION; BOOTSTRAPPING; CASE CONTROL STUDY; COHORT ANALYSIS; CONFIDENCE INTERVAL; CROSS-SECTIONAL STUDY; HUMAN; JACKKNIFE TEST; PRIORITY JOURNAL; PROBABILITY; PROBABILITY SAMPLE; STATISTICAL ANALYSIS; STATISTICS; STUDY DESIGN; EPIDEMIOLOGY; HEALTH SURVEY; METHODOLOGY; POPULATION; PROCEDURES; RISK ASSESSMENT; RISK FACTOR;

CASE-CONTROL STUDIES; CROSS-SECTIONAL STUDIES; EPIDEMIOLOGIC METHODS; HEALTH SURVEYS; HUMANS; POPULATION; RESEARCH DESIGN; RISK ASSESSMENT; RISK FACTORS;

EID: 84923291115     PISSN: 10472797     EISSN: 18732585     Source Type: Journal    
DOI: 10.1016/j.annepidem.2014.11.007     Document Type: Article

References (51)

1. Basu S., Landis J.R. Model-based estimation of population attributable risk under cross-sectional sampling. Am J Epidemiol 1993, 142:1338-1343.
2. Gergen P.J., Fowler J.A., Maurer K.R., Davis W.W., Overpeck M.D. The burden of environmental tobacco smoke exposure on respiratory health of children 2 months through 5 years of age in the United States: Third National Health and Nutrition Examination Survey 1988 to 1994. Pediatrics 1998, 101:e8.
3. Malacher A.M., Schulman J., Epstein L.E., Thun M.J., Mowery P., Pierce B., et al. Methodological issues in estimating smoking-attributable mortality in the United States. Am J Epidemiol 2000, 152(6):573-584.
4. Tanuseputro P., Manuel D.G., Schultz S., Johansen H., Mustard C.A. Improving population attributable fraction methods: examining smoking-attributable mortality for 87 geographic regions in Canada. Am J Epidemiol 2005, 161(8):787-798.
5. Flegal K.M., Graubard B.I., Williamson D.F., Gail M.H. Cause-specific excess deaths associated with underweight, overweight and obesity. JAm Med Assoc 2007, 298(17):2028-2037.
6. Danaei G., Ding E.L., Mosaffarian D., Taylor B., Rehm J., Murray C.J.L., et al. The preventable causes of death in the United States: comparative risk of assessment of dietary, lifestyle, and metabolic risk factors. PLoS Med 2009, 6(4):1-23.
7. Ganji V., Kafai M.R. Population prevalence, attributable risk, and attributable risk percentage for high methylmalonic acid concentrations in the post-folic acid fortification period in the US. Nutr Metab 2012, 9(2):1-2.
8. Brown D.W., Young K.E., Anda R.F., Giles W.H. Asthma and the risk of death from lung cancer: NHANES II Mortality Study. JAsthma 2005, 42:597-600.
9. Yeh J.M., Hur C., Schrag D., Kuntz K.M., Ezzati M., Stout N., et al. Contribution of H.pylori and smoking trends to US incidence of intestinal-type noncardia gastric adenocarcinoma: a micro simulation model. (2013). PLoS Med 2013, 10(5):1-13.
10. Laaksonen M.A., Virtala E., Knekt P., Oja H., Harkanen T. SAS macros of calculation of population attributable fraction in a cohort study design. JStat Softw 2011, 48(7):1-25.
11. Affifi T.O., Enns M.W., Cox B.J., Gordon J.G., Amundson G.J.G., Stein M.B., et al. Population attributable fractions of psychiatric disorders and suicide ideation and attempts associated with adverse childhood experiences. Am J Public Health 2008, 98(5):946-952.
12. Brown M.J., Thacker L.R., Cohen S.A. Association between adverse childhood experiences and diagnosis of cancer. PLoS One 2013, 8(6):1-6.
13. Nelson K.M., Boyko E.J., Koepsell T. All-cause mortality risk among a national sample of individuals with diabetes. Diabetes Care 2010, 33(11):2360-2364.
14. Madigan M.P., Ziegler R.G., Benichou J., Byrne C., Hoover R.N. Proportion of breast cancer cases in the United States explained by well-established risk factors. JNatl Cancer Inst 1995, 87(22):1681-1685.
15. Garrabrant D.H., Lacey J.V., Laing T.J., Gillespie B.W., Mayes M.D., Cooper B.C., et al. Scleroderma and solvent exposure among women. Am J Epidemiol 2003, 157(6):493-500.
16. Heeringa S.G., West B.T., Berglund P.A. Applied survey data analysis 2010, Chapman and Hall/CRC, Boca Raton, FL.
17. Skinner C.J., Holt D., Smith T.M.F. Analysis of complex surveys 1989, John Wiley and Sons, New York.
18. Cochran W.G. Sampling techniques 1977, John Wiley and Sons, New York. 3rd ed.
19. Kish L. Survey sampling 1965, John Wiley and Sons, New York.
20. Valliant R., Dever J.A., Kreuter F. Practical tools for designing and weighting survey samples 2013, Springer-Verlag, New York.
21. Korn E.L., Graubard B.I. Analysis of health surveys 1999, John Wiley and Sons, New York.
22. Bruzzi P., Green S.B., Byar D.P., Brinton L.A., Schairer C. Estimating the population attributable risk for multiple risk factors using case-control data. Am J Epidemiol 1985, 122:904-914.
23. Greenland S., Robins J.M. Conceptual problems in the definition and interpretation of attributable fractions. Am J Epidemiol 1988, 128:1185-1197.
24. Greenland S., Drescher K. Maximum likelihood estimation of the attributable fraction from logistic models. Biometrics 1993, 49:865-872.
25. Benichou J., Gail M.H. Methods of inference for estimates of absolute risk derived from population-based case-control studies. Biometrics 1995, 51:182-194.
26. Benichou J. Areview of adjusted estimators of attributable risk. Stat Methods Med Res 2001, 10(195):195-216.
27. Greenland S. Estimation of population attributable fractions from fitted incidence ratios and exposure survey data, with an application to electromagnetic fields and childhood leukemia. Biometrics 2001, 57:182-188.
28. Kulik M.C., Hoffmann R., Judge K., Looman C., Menvielle G., Toch M., et al. Smoking and the potential for reduction of inequalities in mortality in Europe. Eur J Epidemiol 2013, 28:959-971.
29. Huang H., Ma X., Waagepetersen R., Holford T.R., Wang R., Risch H., et al. Anew estimation approach to combining epidemiological data from multiple sources. JAm Stat Assoc 2014, 109(505):11-23.
30. Graubard B.I., Fears T.R. Standard errors for attributable risk for simple and complex sample designs. Biometrics 2005, 61:847-855.
31. Graubard B.I., Flegal K.M., Williamson D.F., Gail M.H. Estimation of attributable number of deaths and standard errors from simple and complex sampled cohorts. Stat Med 2007, 26:2639-2649.
32. Binder D.A. On the variances of asymptotically normal estimators from complex surveys. Int Stat Rev 1983, 51:279-292.
33. Lohr S.L. Sampling: design and analysis 1999, Duxbury Press, Pacific Grove, CA.
34. Benichou J., Gail M.H. Adelta method for implicitly defined random variables. Am Stat 1989, 43:41-44.
35. Benichou J., Gail M.H. Variance calculation and confidence intervals for estimates of attributable risk based on logistic models. Biometrics 1990, 46:991-1003.
36. Greenland S. Variance estimators for attributable fraction estimates consistent in both large-strata and sparse data. Stat Med 1987, 6:701-708.
37. Shao J., To D. The Jackknife and Bootstrap 1995, Springer-Verlag, New York.
38. Kooperberg C., Pettiti D.B. Using logistic regression to estimate the adjusted attributable risk of low birth weight in an unmatched case-control study. Epidemiology 1991, 2(5):363-366.
39. Llorca J., Delgado-Rodriguez M. Acomparison of several procedures to estimate the confidence interval for attributable risk in case-control studies. Stat Med 2000, 19:1089-1099.
40. Greenland S. Interval estimation by simulation as an alternative to and extension of confidence intervals. Int J Epidemiol 2004, 33:1389-1397.
41. Cox C., Li X. Model-based estimation of attributable risk: a log linear approach. Comput Stat Data Anal 2012, 56(12):4180-4189.
42. Natarjan S., Lipsitz S.R., Rimm E. Asimple method of determining confidence intervals for population attributable risk from complex surveys. Stat Med 2007, 26:3229-3239.
43. Ruckinger S., von Kries R., Toschke A.M. An illustration of and programs estimating attributable fractions in large scale surveys considering multiple risk factors. BMC Med Res Methodol 2009, 9(7):1-6.
44. Demnati A., Rao J.N.K. Linearization variance estimators for survey data. Surv Methodol 2004, 30:17-26.
45. Rao J.N.K., Wu C.F.J. Resampling inference with complex survey data. JAm Stat Assoc 1988, 83:231-241.
46. Kovar J.G., Rao J.N.K., Wu C.F.J. Bootstrap and other methods to estimate error in survey estimates. Can J Stat 1988, 16S:24-45.
47. Wagner B.A., Wells S.J., Kott P.S. Variance estimation for population attributable risk in a complex cross-sectional animal health survey. Prev Vet Med 2001, 48:1-13.
48. Rust K.F., Rao J.N.K. Variance estimation for complex surveys using replication techniques. Stat Methods Med Res 1996, 5:283-310.
49. Valliant R., Rust K.F. Degrees of freedom approximations and rules of thumb. JOfficial Stat 2010, 26:585-602.
50. Kessler R., Berglund P., Chiu W.T., Demer O., Heeringa S., Hiripi E., et al. The National Comorbidity Survey-Replication (NCS-R): design and field procedures. Int J Methods Psychiatr Res 2004, 13(2):69-92.
51. Norton E.C., Miller M.M., Kleinman L.C. Computing adjusted risk ratios and risk differences in Stata. Stata J 2001, 1(1):1-16.