Inference for case-control studies when exposure status is both informatively missing and misclassified

Statistics in Medicine

Volumn 25, Issue 23, 2006, Pages 4065-4080

  Lyles, Robert H ^a   Allen, Andrew S ^b   Flanders, Dana ^a   Kupper, Lawrence L ^c   Christensen, Deborah L ^a  

^a EMORY UNIVERSITY   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

^c IL   (United States)

Author keywords

Bias; Maximum likelihood; Reassessment; Validation

Indexed keywords

ADULT; ANALYTIC METHOD; ARTICLE; BIRTH CERTIFICATE; BREAST CANCER; CASE CONTROL STUDY; DISEASE ASSOCIATION; EXPERIMENTAL DESIGN; EXTERNAL VALIDITY; HUMAN; INFERENTIAL STATISTICS; INTERNAL VALIDITY; LOW BIRTH WEIGHT; NULL HYPOTHESIS; PROBABILITY; RISK ASSESSMENT; SYSTEMATIC ERROR; VALIDATION PROCESS;

ADULT; BIAS (EPIDEMIOLOGY); BREAST NEOPLASMS; CASE-CONTROL STUDIES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; INFANT, LOW BIRTH WEIGHT; INFANT, NEWBORN; LIKELIHOOD FUNCTIONS; ODDS RATIO;

EID: 34047170356     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2500     Document Type: Article

References (28)

1. Bross IDJ. Misclassification in 2 × 2 tables. Biometrics 1954; 10:478-486.
2. Barron BA. The effects of misclassification on the estimation of relative risk. Biometrics 1977; 33:414-418.
3. Greenland S, Kleinbaum DG. Correcting for misclassification in two-way tables and matched-pair studies. International Journal of Epidemiology 1983; 12:93-97.
4. Greenland S. Variance estimation for epidemiologic effect estimates under misclassification. Statistics in Medicine 1988; 7:745-757.
5. Marshall RJ. Validation study methods for estimating proportions and odds ratios with misclassified data. Journal of Clinical Epidemiology 1990; 43:941-947.
6. Morrissey MJ, Spiegelman D. Matrix methods for estimating odds ratios with misclassified exposure data: extensions and comparisons. Biometrics 1999; 55:338-344.
7. Little RJA, Rubin DB. Statistical Analysis with Missing Data. Wiley: New York, 1987.
8. Vach W, Blettner M. Biased estimation of the odds ratio in case-control studies due to the use of ad hoc methods of correcting for missing values for confounding variables. American Journal of Epidemiology 1991; 134:895-907.
9. Greenland S, Finkle WD. A critical look at methods for handling missing covariates in epidemiologic regression analyses. American Journal of Epidemiology 1995; 142:1255-1264.
10. Lyles RH, Allen AS. Estimating crude or common odds ratios in case-control studies with informatively missing exposure data. American Journal of Epidemiology 2002; 155:274-281.
11. Flanders WD, Greenland S. Analytical methods for two-stage case-control studies and other stratified designs. Statistics in Medicine 1991; 10:739-747.
12. Glynn RJ, Laird NM, Rubin DB. Multiple imputation in mixture models for nonignorable nonresponse with follow-ups. Journal of the American Statistical Association 1993; 88:984-993.
13. Baker SG, Wax Y, Patterson BH. Regression analysis of grouped survival data: informative censoring and double sampling. Biometrics 1993; 49:379-389.
14. Brenner H. Alternative approaches for estimating prevalence in epidemiologic surveys with two waves of respondents. American Journal of Epidemiology 1995; 142:1236-1245.
15. Frangakis CE, Rubin DB. Addressing an idiosyncrasy in estimating survival curves using double sampling in the presence of self-selected right censoring. Biometrics 2001; 57:333-342.
16. Pearce N. What does the odds ratio estimate in a case-control study? International Journal of Epidemiology 1993; 22:1189-1192.
17. Kleinbaum D, Kupper L, Morgenstern H. Epidemiologic Research: Principles and Quantitative Methods. Lifetime Learning: Belmont, CA, 1982.
18. Begg CB. Biases in the assessment of diagnostic tests. Statistics in Medicine 1987; 6:411-423.
19. Carroll RJ, Ruppert D, Stefanski LA. Measurement Error in Nonlinear Models. Chapman & Hall: London, 1995.
20. SAS/IML Software: Changes and Enhancements Through Release 6.11. SAS Institute, Inc.: Cary, NC, 1995.
21. Marchbanks PA, McDonald JA, Wilson, HG, Burnett NM, Daling JR, Bernstein L, Malone KE, Strom BL, Norman SA, Weiss LK, Liff JM, Wingo PA, Burkman RT, Folger SG, Berlin JA, Deapen DM, Ursin G, Coates RJ, Simon MS, Press MF, Spirtas R. The NICHD women's contraceptive and reproductive experiences study: methods and operational results. Annals of Epidemiology 2002; 12:213-221.
22. Lyles RH. A note on estimating crude odds ratios in case-control studies with differentially misclassified exposure. Biometrics 2002; 58:1034-1037.
23. Rothman KJ, Greenland S. Modern Epidemiology (2nd edn). Lippincott-Raven: Philadelphia, PA, 1998.
24. Dempster AP, Laird NM, Rubin DB. Maximum likelihood estimation from incomplete data via the EM algorithm. Journal of the Royal Statistical Society Series B 1977; 39:1-38.
25. Kosinski AS, Flanders WD. Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach. Statistics in Medicine 1999; 18:2795-2808.
26. Paik MC. Nonignorable missingness in matched case-control data analyses. Biometrics 2004; 60:306-314.
27. Neuhaus JM. Analysis of clustered and longitudinal binary data subject to response misclassification. Biometrics 2002; 58:675-683.
28. Lyles RH, Williamson JM, Lin H-M, Heilig CM. Extending McNemar's test: estimation and inference when paired binary outcome data are misclassified. Biometrics 2005; 61:287-294.