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Use of a logistic regression model to analyze some variables in the incidence of dental caries disease | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 12، Special Issue، اسفند 2021، صفحه 793-798 اصل مقاله (295.2 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5447 | ||
| نویسنده | ||
| Sabah Hasan Jasim Alsaedi | ||
| Mathematic Department - College of Basic Education, Misan University, Iraq | ||
| تاریخ دریافت: 26 دی 1399، تاریخ بازنگری: 12 خرداد 1400، تاریخ پذیرش: 28 تیر 1400 | ||
| چکیده | ||
| Logistic regression is commonly statistical methods used in empirical study including categorical dependent variables .In accurate study of reviews dental carries associated with some variables as sex, drink milk, smoking, Extract teeth and diabetics. Aim of study is examine common practices of the results and interpretation of logistic regression data .Determinate some variables (dependent variables that was effect on denial carries. In results and by used two methods as enter methods and steps wise forward to determine sex and extract teeth which more dependent variables on independent variables (yi) dental carries. | ||
| کلیدواژه‌ها | ||
| Logistic regression؛ Dental caries؛ odds ratio | ||
| مراجع | ||
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[1] Axelsson P.,An introduction to risk prediction and preventive dentistry, Quintessence, 1999, 1–7. [2] Derry C., K. Toumba.,Diagnosis and Prevention of Dental caries, Pediatric Dentistry, Third Edition, Edited by Richard Welbury, Monty Duggal, Marie-Terese Hosey, Oxford.,2005. [3] Kleinbaum, D. G., & Klein, M. (2010), Logistic regression (statistics for biology and health) (3rd ed.). New York, NY: Springer-Verlag New York Inc. [4] Shariff A.A .,Zaharim Aand Sopian K ., 2009, The Comparison Logit and probit regression analysis in estimation the strength of gear teeth .European Journal of scientific research.27,548-5. [5] Berkson,J., 1955, Maximum likelihood and minimum χ 2 estimates of the logistic function, J. Amer. Statist. Asso , Vol. 50, 130–162 (1955). | ||
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