Modeling medical data using logistics model

Khamis, Azme and Rusiman, Mohd Saifullah and Mohd Asrah, Norhaidah (2010) Modeling medical data using logistics model. In: Seminar Kebangsaan Applikasi Sains & Matematik 2010, 8 - 10 Disember 2010, The Zone Regency Hotel, Johor Bahru.

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Abstract

The new technique in data robustness, the least quartile difference (LQD) regression modeling and the widely used model, logit modeling have been studied in analyzing the nonlinear modeling. Research of these nonlinear models covered its discoveries, functions of models, assumption of residuals, probability distributions and the estimation techniques. A case study using the two methods of modeling as mentioned above was carried out. The comparison between the least quartile difference (LQD) regression modeling and logit modeling were done to find the better model by using the percentage of accuracy. After comparing the two models, it was found that the least quartile difference (LQD) regression modeling appeared to be the better model, having the highest probability of accuracy and can be proposed as the new effective model.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:data robustness; least quartile difference (LQD) regression modeling; logit modeling
Subjects:Q Science > QA Mathematics > QA273 Probabilities. Mathematical statistics
Divisions:Faculty of Applied Science and Technology > Department of Mathematics and Statistic
ID Code:9592
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:21 Jan 2018 16:02
Last Modified:21 Jan 2018 16:02

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