Analysis of matched case-control data with incomplete strata: Applying longitudinal approaches

Epidemiology

Volumn 18, Issue 4, 2007, Pages 446-452

  Lin, I Feng ^a   Lai, Ming Yun ^a   Chuang, Pei Hung ^a  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CASE CONTROL STUDY; PRIORITY JOURNAL; SIMULATION;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; LOGISTIC MODELS; LONGITUDINAL STUDIES; MATCHED-PAIR ANALYSIS; PROSPECTIVE STUDIES; RETROSPECTIVE STUDIES;

EID: 34250724012     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/EDE.0b013e318064630a     Document Type: Article

References (22)

1. Rothman KJ, Greenland S. Modern Epidemiology. 2nd ed. Lippincott-Raven; 1998.
2. Levin B, Paik MC. The unreasonable effectiveness of a biased logistic regression procedure in the analysis of pair-matched case-control studies. J Stat Plan Inference. 2001;96:371-385.
3. Breslow NE, Day NE, Halvorsen KT, et al. Estimation of multiple relative risk functions in matched case-control studies. Am J Epidemiol. 1978;108:299-307.
4. Breslow NE, Day NE. Statistical Methods in Cancer Research: The Analysis of Case-Control Studies. Vol. 1. IARC Scientific publications No. 32. Lyon, France: International Agency for Research on Cancer; 1980.
5. Holford TR, White C, Kelsey JL. Multivariate analysis for matched case-control studies. Am J Epidemiol. 1978;107:245-256.
6. Liang K-Y, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73:13-22.
7. Diggle PJ, Heagerty P, Liang K-Y, et al. Analysis of Longitudinal Data. 2 ed. Oxford: Oxford: Oxford University Press; 2002.
8. Fleiss JL, Levin B, Paik MC. Regression models for matched samples. In: Statistical Methods for Rates and Proportions. 3rd ed. Wiley; 2003:407-439.
9. Prentice RL. Use of the logistic model in retrospective studies. Biometrics. 1976;32:599-606.
10. Prentice RL, Pyke R. Logistic disease incidence models and case-control studies. Biometrika. 1979;66:403-411.
11. Weinberg CR, Wacholder S. The design and analysis of case-control studies with biased sampling. Biometrics. 1990;46:953-975.
12. Liang K-Y, Zeger SL, Qaqish B. Multivariate regression analyses for categorical data (with discussion). J R Stat Soc Ser B. 1992;54:3-40.
13. Paik MC, Sacco RL. Matched case-control data analyses with missing covariates. Appl Stat. 2000;49(Part 1):145-156.
14. Sacco RL, Elkind M, Boden-Albala B, et al. The protective effect of moderate alcohol consumption on ischemic stroke. JAMA. 1999;281:53-60.
15. Lin I-F, Paik MC. Matched case-control data analysis with selection bias. Biometrics. 2001;57:1106-1112.
16. Rubin DB. Inference and missing data. Biometrika. 1976;63:581-592.
17. Greenland S. Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators. Biostatistics. 2000;1:113-122.
18. Brookmeyer RON, Liang KY, Linet M. Matched case-control designs and overmatched analyses. Am J Epidemiol. 1986;124:693-701.
19. Lipsitz SR, Parzen M, Ewell M. Inference using conditional logistic regression with missing covariates. Biometrics. 1998;54:295-303.
20. Gibbons LE, Hosmer DW. Conditional logistic regression with missing data. Commun Stat Simul Comput. 1991;20:109-120.
21. Robins JM, Rotnitzky A, Zhao LP. Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. J Am Stat Assoc. 1995;90:106-121.
22. Paik MC. The generalized estimating equation approach when data are not missing completely at random. J Am Stat Assoc. 1997;92:1320-1329.