Some issues in estimating the effect of prognostic factors from incomplete covariate data

Statistics in Medicine

Volumn 16, Issue 1-3, 1997, Pages 57-72

  Vach, Werner ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONFERENCE PAPER; COVARIANCE; DATA ANALYSIS; PREDICTION; PROBABILITY; PROGNOSIS; REGRESSION ANALYSIS; STATISTICS;

DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; NEOPLASM, RESIDUAL; PREDICTIVE VALUE OF TESTS; PROGNOSIS; RANDOMIZED CONTROLLED TRIALS; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0031014468     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19970115)16:1<57::AID-SIM471>3.0.CO;2-S     Document Type: Conference Paper

References (24)

1. Gill, R. D. 'A note on some methods for regression analysis with incomplete observations', Sankhya B, 48, 19-30 (1986).
2. Vach, W. and 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 in confounding variables', American Journal of Epidemiology, 134, 895-907 (1991).
3. Vach, W. Logistic Regression with Missing, Values Lecture Notes in Statistics 86, Springer, New York, 1994.
4. Schemper, M. and Smith, T. L. 'Efficient evaluation of treatment effects in the presence of missing covariate values', Statistics in Medicine, 9, 777-784 (1990).
5. Ulm, K., Schmoor, C., Sauerbrei, W., Kemmler, G., Aydemir, Ü., Müller, B. and Schumacher, M. 'Strategien zur Auswertung einer Therapiestudie mit der Überlebenszeit als Zielkriterium', Biometrie und Informatik in Medizin und Biologie, 20, 171-205, (in German) (1989).
6. Edler, L. and Quintero, C. 'Kommentar zu K. Ulm, C. Schmoor, W. Sauerbrei, G. Kemmler, U. Aydemir, B. Müller und M. Schumacher (1989)', Biometrie und Informatik in Medizin und Biologie, 20, 171-205, (in German) (1989).
7. Sauerbrei, W. and Schumacher, M. 'A bootstrap resampling procedure for model building: Application to the Cox regression model', Statistics in Medicine, 11, 2093-2109 (1992).
8. Schmoor, C., Ulm, K. and Schumacher, M. 'Comparison of the Cox model and the regression tree procedure in analysing a randomized clinical trial', Statistics in Medicine, 12, 2351-2366.
9. Little, R. J. A. and Rubin, D. B. Statistical Analysis with Missing Data, Wiley, New York, 1987.
10. Rubin, D. B. 'Inference and missing data', Biometrika, 63, 581-592 (1976).
11. Dempster, A. P., Laird, N. M. and Rubin, D. B. 'Maximum likelihood estimation from incomplete data via EM algorithm (with discussion)', Journal of the Royal Statistical Society, Series B, 39, 1-38 (1977).
12. Ibrahim, J. G. 'Incomplete data in generalized linear models', Journal of the American Statistical Association, 85, 765-769 (1990).
13. Abbott, R. D. 'Logistic regression in survival analysis', American Journal of Epidemiology, 121, 465-471 (1985).
14. Little, R. J. A. 'Models for nonresponse in sample surveys', Journal of the American Statistical Association, 77, 237-250 (1982).
15. Nordheim, E.V. 'Inference from nonrandomly missing categorical data: An example from a genetic study on Turner's syndrome, Journal of the American Statistical Association, 79, 772-780 (1984).
16. Phillips, M. J. 'Contingency tables with missing data', Statistician, 42, 9-18 (1993).
17. Vach, W. and Blettner, M. 'Logistic regression with incompletely observed categorical covariates - Investigating the sensitivity against violation of the missing at random assumption', Statistics in Medicine, 14, 1315-1329 (1995).
18. Liang, K. Y. and Zeger, S. L. 'Longitudinal data analysis using generalized linear models', Biometrika, 73, 13-22 (1986).
19. Pepe, M. S. and Fleming, T. R. 'A nonparametric method for dealing with mismeasured covariate data', Journal of the American Statistical Association, 86, 108-113 (1991).
20. Carroll, R. J. and Wand, M. P. 'Semiparametric estimation in logistic measurement error models', Journal of the Royal Statistical Society Series, B, 53, 573-585 (1991).
21. Flanders, W. D. and Greenland, S. 'Analytical methods for two-stage case-control studies and other stratified designs', Statistics in Medicine, 10, 739-747 (1991).
22. Reilly, M. and Pepe, M. 'A mean score method for missing and auxiliary covariate data in regression models', Biometrika, 82, 299-314 (1995).
23. Robins, J. M., Rotnitzky, A. and Zhao, L. P. 'Estimation of regression coefficients when some regressors are not always observed', Journal of the American Statistical Association, 89, 846-866 (1994).
24. Schemper, M. and Heinze, G. 'Probability imputation revisited for prognostic factor studies', Statistics in Medicine, 15, 73-80 (1996).