Matched samples logistic regression in case-control studies with missing values: When to break the matches

Statistical Methods in Medical Research

Volumn 17, Issue 6, 2008, Pages 595-607

  Hansson, Lisbeth ^a   Khamis, Harry J ^b  

^a UPPSALA UNIVERSITY   (Sweden)

^b WRIGHT STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CASE CONTROL STUDY; CONTROLLED STUDY; COVARIANCE; LOGISTIC REGRESSION ANALYSIS; MAXIMUM LIKELIHOOD METHOD; SIMULATION; STATISTICAL MODEL;

BIAS (EPIDEMIOLOGY); BIOMETRY; CASE-CONTROL STUDIES; DATABASES, FACTUAL; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS;

EID: 58749099473     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1177/0962280207082348     Document Type: Article

References (21)

1. Prentice R. Use of the logistic model in retrospective studies. Biometrics 1976; 32: 599 - 606.
2. Breslow NE, Day NE Statistical methods in cancer research, Volume 1. The analysis of case-control studies. International Agency for research on Cancer: IARC Scientific Publications No. 32, 1980.
3. Robinson LD, Jewell NP Some surprising results about covariate adjustment in logistic regression models. International Statistical Review 1991; 59: 227 - 40.
4. Lynn HS, McCulloch CE When does it pay to break the matches for analysis of a matched-pairs design? Biometrics 1992; 48: 397 - 409.
5. McKinlay SM Pair-matching - a reappraisal of a popular technique. Biometrics 1977; 33: 725 - 35.
6. Schlesselman JJ case-control studies. Oxford University Press, 1982.
7. Efron B. The efficiency of logistic regression compared to normal discriminant analysis. Journal of the American Statistical Association 1975; 70: 892 - 8.
8. Little RJA, Rubin DB Statistical analysis with missing data. John Wiley, 1987.
9. Gibbons LE, Hosmer, DW Conditional logistic regression with missing data. Communications in Statistics - Simulation and Computation 1991; 20: 109 - 20.
10. Anderson A., Basilevsky A., Hum, D. Missing data: A review of the literature. In Rossi P, Wright JD, Anderson A eds. Handbook of survey research (Chapter 12). Academic Press, 1983: 415 - 94.
11. Blackhurst DW, Schluchter MD Logistic regression with a partially observed covariate. Communications in Statistics-Simulation and Computation 1989; 18: 163 - 77.
12. Little RJA Regression with missing X's: A review. Journal of the American Statistical Association 1992; 87: 1227 - 37.
13. Paik MC, Sacco RL Matched case-control data analyses with missing covariates. Applied Statistics 2000; 49: 145 - 56.
14. Satten GA, Carroll RJ Conditional and unconditional categorical regression models with missing covariates. Biometrics 2000; 56: 384 - 8.
15. Hansson LM, Galanti MR Diet-associated risks of disease and self-reported food consumption: How shall we treat partial nonresponse in a food frequency questionnaire? Nutrition and Cancer 2000; 36: 1 - 6.
16. Kleinbaum DG Logistic Regression, a self-learning text. Springer, 1994.
17. Statistical Analysis System. Statistical Analysis System, User's Guide, Version 9.1. SAS Institute Inc., 2003.
18. Hosmer DW, Lemeshow S. Applied Logistic Regression, second edition. John Wiley, 2000.
19. Lesaffre E., Senn S. A note on non-parametric ANCOVA for covariate adjustment in randomized clinical trials. Statistics in Medicine 2003; 22: 3583 - 96.
20. Senn S. Cross-over Trials in Clinical Research, second edition. John Wiley, 2002.
21. Ezzet F., Whitehead J. A random effects model for binary data from crossover clinical trials. Applied Statistics 1992; 41: 117 - 26.