The use of complete-case and multiple imputation-based analyses in molecular epidemiology studies that assess interaction effects

Epidemiologic Perspectives and Innovations

Volumn 8, Issue 1, 2011, Pages

  Desai, Manisha ^a   Esserman, Denise A ^b   Gammon, Marilie D ^c   Terry, Mary B ^d  

^a STANFORD UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c IL   (United States)

^d Mailman School of Public Health ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DATA ANALYSIS; MOLECULAR EPIDEMIOLOGY; MOLECULAR INTERACTION; MULTIPLE IMPUTATION; OUTCOME ASSESSMENT; SIMULATION;

EID: 80053484609     PISSN: None     EISSN: 17425573     Source Type: Journal    
DOI: 10.1186/1742-5573-8-5     Document Type: Article

References (24)

1. The Handling of Missing Data in Molecular Epidemiologic Studies. Desai M, Kubo J, Esserman D, Terry MB, COBRA Preprint Series 2010 http://biostats. bepress.com/cobra/ps/art72 Article 72
2. A critical look at methods for handling missing covariates in epidemiologic regression analyses. Greenland S, Finkle WD, American Journal of Epidemiology 1995 142 1255 1264 7503045 (Pubitemid 26006424)
3. Use of multiple imputation in the epidemiologic literature. Klebanoff MA, Cole SR, American Journal of Epidemiology 2008 168 4 355 357 10.1093/aje/kwn071 18591202
4. The Handling of Missing Data in Molecular Epidemiologic Studies. Desai M, Kubo J, Esserman D, Terry MB, Cancer Epidemiology Biomarkers and Prevention 2011 20 8 1 9
5. Statistical analysis with missing data. Little R, Rubin DB, Wiley-Interscience 1987
6. Multiple imputation after 18+ years. Rubin DB, Journal of the American Statistical Association 1996 91 473 489 10.2307/2291635
7. Parameter estimation from incomplete data in binomial regression when the missing data mechanism is nonignorable. Ibrahim JG, Lipsitz SR, Biometrics 1996 1071 1078 (Pubitemid 26296084)
8. Missing covariates in generalized linear models when the missing data mechanism is non-ignorable. Ibrahim JG, Lipsitz SR, Chen MH, Journal of Royal Statistical Society 1999 Series B 173 190
9. Missing responses in generalized linear mixed models when the missing data mechanism is nonignorable. Ibrahim JG, Chen MH, Lipsitz SR, Biometrika 2001 88 551 564 10.1093/biomet/88.2.551 (Pubitemid 33771005)
10. Using auxiliary data for parameter estimation with non-ignorably missing outcomes. Ibrahim JG, Lipsitz SR, Horton N, Applied Statistics 2001 50 361 373 10.1111/1467-9876.00240 (Pubitemid 33399969)
11. Multiple imputation for nonresponse surveys. Rubin DB, 1987
12. Multiple imputation of discrete and continuous data by fully conditional specification. Van Buuren S, Statistical methods in medical research 2007 16 219 242 10.1177/0962280206074463 17621469 (Pubitemid 47018660)
13. Multiple imputation of missing values. Royston P, Stata Journal 2004 4 227 241
14. Multiple imputation of missing values. Royston P, Stata Journal 2005 5 118 201
15. Multiple imputation of missing values. Royston P, Stata Journal 2005 5 527 536
16. Much ado about nothing: a comparison of missing data methods and software used to fit incomplete data regression models. Horton NJ, Kleinman KP, The American Statistician 2007 61 79 90 10.1198/000313007X172556 17401454
17. Allison, Missing data. Sage Series: Quantitative Applications in the Social Sciences 2002
18. How to impute interactions, squares, andn other transformed variables. von Hippel PT, Sociological Methodology 2009
19. ADH3 genotype, alcohol intake and breast cancer risk. Terry MB, Gammon MD, Zhang FF, Knight JA, Wang Q, Britton JA, Teitelbaum SL, Neugut AI, Santella RM, Carcinogenesis 2006 27 840 7 16344274
20. The Long Island Breast Cancer Study Project: Description of a multi-institutional collaboration to identify environmental risk factors for breast cancer. Gammon MD, Neugut AI, Santella RM, Teitelbaum SL, Britton JA, Terry MB, Eng SM, Wolff MS, Stellman SD, Kabat GC, Levin B, Bradlow HL, Hatch M, Beyea J, Camann D, Trent M, Senie RT, Garbowski G, Maffeo C, Montalvan P, Berkowitz GS, Kemeny M, Citron M, Schnabel F, Schuss A, Hajdu S, Vinceguerra V, Collman GW, Obrams GI, Breast Cancer Research and Treatment 2002 74 235 54 10.1023/A:1016387020854 12206514 (Pubitemid 34848352)
21. Use of multiple imputation to correct for nonresponse bias in a survey or urologic symptoms among African-American men. Taylor JMG, Cooper KL, Wei JT, Aruna VS, Raghunathan TE, Heeringa SG, American Journal of Epidemiology 2002 56 774 782 (Pubitemid 35155184)
22. Alcohol and breast cancer in women: a pooled analysis of cohort studies. Smith-Warner SA, Spiegelman D, Yaun SS, van den Brandt PA, Folsom AR, Goldbohm RA, Graham S, Holmberg L, Howe GR, Marshall JR, Miller AB, Potter JD, Speizer FE, Willett WC, Wolk A, Hunter DJ, Journal of the American Medical Association 1998 279 535 540 10.1001/jama.279.7.535 9480365 (Pubitemid 28113433)
23. Alcohol and breast cancer risk: the alcoholism paradox. Kuper H, British Journal of Cancer 2000 83 949 951 10.1054/bjoc.2000.1360 10970699
24. A comparison of inclusive and restrictive strategies in modern missing data procedures. Collins LM, Schafer JL, Kam CM, Psychological Methods 2001 6 330 351 11778676 (Pubitemid 33599063)