A comparative study for stepwise correlated binary regression

Computer Methods and Programs in Biomedicine

Volumn 59, Issue 3, 1999, Pages 181-186

  Sohn, So Young ^a  

^a Yonsei University   (South Korea)

Author keywords

Correlated binary data; Generalized estimating equation; Image processing; Variable selection

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; MEDICAL IMAGING; MONTE CARLO METHODS; REGRESSION ANALYSIS;

CORRELATED BINARY REGRESSION;

MEDICAL COMPUTING;

ARTICLE; DATA BASE; IMAGE PROCESSING; SIMULATION; SYSTEM ANALYSIS;

ALGORITHMS; ANALYSIS OF VARIANCE; BIAS (EPIDEMIOLOGY); HUMANS; LOGISTIC MODELS; MONITORING, PHYSIOLOGIC; MONTE CARLO METHOD; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0345517096     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-2607(99)00005-X     Document Type: Article

References (28)

1. A.K. Kordon, P.S. Dhurjati, B.J. Bockrath, On-line expert system for odor complaints in a refinery, in: European Symposium on Computer Aided Process Engineering, 6, Part B, 1996, S1449-S1454.
2. Bernieri A., Betta G., Liguori C. On-line fault detection and diagnosis obtained by implementing neural algorithms on a digital signal processor. IEEE Trans. Inst. Meas. 45:1996a;894-899.
3. Douglas D.A., Edris A. A real-time monitoring and dynamic thermal rating power transmission circuits. IEEE Trans. Power Deliv. 11:1996;1407-1415.
4. Bernieri A., Betta G., Liguori C., Losi A. Neural networks and pseudo-measurements for real-time monitoring of distributed systems. IEEE Trans. Inst. Meas. 45:1996b;645650.
5. Michie D., Spiegelhalter D.J., Taylor C.C. Machine Learning, Neural and Statistical Classification. 1994;Ellis Horwood, NY.
6. Aeberhard S., Coomans D., De Vel O. Comparative analysis of statistical pattern recognition methods in high dimensional settings. Pattern Recognit. 27:1994;1065-1077.
7. Shaudys F.E., Leen T.K. Feature selection for improved classification, Proceedings of the International Joint Conference on Neural Networks. 1992;IEEE, Baltimore.
8. Sohn S.Y., Mazumdar M. A Monte Carlo study of variable selection and inferences in a two stage random coefficient linear regression model with unbalanced data. Commun. Stat. Theory Methods. A20:1991;3761-3791.
9. Sohn S.Y. Variable selection in a linear growth curve model with autoregressive within-individual errors. J. Stat. Comput. Simul. 40:1992;247-255.
10. Nuamah I.F., Qu Y., Amini S.B. A SAS macro for stepwise correlated binary regression. Comput. Methods Programs Biomed. 49:1996;199-210.
11. Wasserman P.D. Advanced Methods in Neural Computing. 1993;Van Norstrand Reinhold, New York.
12. Lowe D., Webb A.R. Optimized feature extraction and the Bayes decision in feed-forward classifier networks. IEEE Trans. Pattern Anal. Mach. Intell. 13:1991;355-364.
13. Brill F.Z., Brown D.E., Martin W. Fast genetic selection of features for neural network classifiers. IEEE Trans. Neural Netw. 3:1992;324-328.
14. Breiman L., Friedman J.H., Olshen R.A., Stone C.J. Classification and Regression Trees. 1984;Wadsworth and Brooks, Monterey, CA.
15. Draper B.A., Brodley C.E., Utgoff P.E. Goal-directed classification using linear machine decision trees. IEEE Trans. Pattern Anal. Mach. Intell. 16:1994;888-893.
16. D. Koller, M. Sahami, Toward optimal feature selection, Proceedings of the Thirteenth International Conference on Machine Learning (ML), Bari, Italy, July 1996.
17. Mangasarian O.L., Street W.N., Wolberg W.H. Breast cancer diagnosis via linear programming. Oper. Res. 43:1995;570-577.
18. Gnanadesikan R., Kettenring J.R. Weighting and selection of variables for cluster analysis. J. Classif. 12:1995;113.
19. Joachimsthaler E.A., Stam A. Four approaches to the classification problem in discriminant analysis: an experimental study. Decis. Sci. 19:1998;323-333.
20. Sohn S.Y. Bayesian dynamic forecasting for attribute reliability. Comput. IE. 33:1997a;741-744.
21. Sohn S.Y. Accelerated life-tests for intermittent destructive inspection with logistic failure-distribution. IEEE Trans. Reliab. 46:1997b;122-129.
22. Sohn S.Y. Statistical analysis of environmental effects on TOW missile stockpile deterioration. IIE Trans. 28:1996b;995-1002.
23. Sohn S.Y. Growth curve analysis applied to ammunition deterioration. J. Qual. Technol. 27:1996b;71-80.
24. Sohn S.Y. Monitoring declining quality of ammunition stockpile under step-stress. Nav. Res. Logist. 41:1994;707-718.
25. Hosmer D.W., Wang C.Y., Lin I.C., Lemeshow S. A computer program for stepwise logistic regression using maximum likelihood. Comput. Programs Biomed. 8:1978;121-134.
26. Prentice R.L. Correlated binary regression with covariates specific to each binary observation. Biometrics. 44:1988;1033-1048.
27. Liang K.Y., Zeger S.L. Longitudinal data analysis using generalized linear models. Biometrika. 73:1986;13-22.
28. Park C.K., Park T.S., Shin D.W. A simple method for generating correlated binary variables. Am. Stat. 50:1996;306-310.