Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets?

P.L. Choong; Christopher Desilva

Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets?

P.L. Choong, Christopher Desilva

Graduate Research School

Research output: Chapter in Book/Conference paper › Conference paper

Original language	English
Title of host publication	Proceedings 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Editors	Y.T. Zhang, R.M. Rangayyan
Place of Publication	Hong Kong
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1602-1605
Volume	N/A
Edition	Hong Kong
ISBN (Print)	0780351673
Publication status	Published - 1998
Event	Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets? - Hong Kong Duration: 1 Jan 1998 → …

Conference

Conference	Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets?
Period	1/01/98 → …

Cite this

Choong, P. L., & Desilva, C. (1998). Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets? In Y. T. Zhang, & R. M. Rangayyan (Eds.), Proceedings 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Hong Kong ed., Vol. N/A, pp. 1602-1605). IEEE, Institute of Electrical and Electronics Engineers.

Choong, P.L. ; Desilva, Christopher. / Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets?. Proceedings 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. editor / Y.T. Zhang ; R.M. Rangayyan. Vol. N/A Hong Kong. ed. Hong Kong : IEEE, Institute of Electrical and Electronics Engineers, 1998. pp. 1602-1605

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title = "Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets?",

author = "P.L. Choong and Christopher Desilva",

year = "1998",

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editor = "Y.T. Zhang and R.M. Rangayyan",

booktitle = "Proceedings 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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note = "Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets? ; Conference date: 01-01-1998",

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Choong, PL & Desilva, C 1998, Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets? in YT Zhang & RM Rangayyan (eds), Proceedings 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Hong Kong edn, vol. N/A, IEEE, Institute of Electrical and Electronics Engineers, Hong Kong, pp. 1602-1605, Maximum Entropy Estimation vs Multivariate Logistic Regression: Which should be used for the analysis of small binary outcome data sets?, 1/01/98.