LOGISTIC REGRESSION MODELS

被引：71
|
作者：
Dominguez-Almendros, S. [2 ]
Benitez-Parejo, N. [1 ]
Gonzalez-Ramirez, A. R. [3 ]
机构：
[1] Ciber Epidemiol & Salud Publ, Unidad Invest & Evaluac, Agencia Sanitaria Costa del Sol, Malaga, Spain
[2] Complejo Hosp Jaen, FIBAO, Jaen, Spain
[3] Hosp Univ San Cecilio, FIBAO, Granada, Spain
来源：
ALLERGOLOGIA ET IMMUNOPATHOLOGIA | 2011年 / 39卷 / 05期
关键词：
HYPOTHESES; TESTS;
D O I：
10.1016/j.aller.2011.05.002
中图分类号：
R392 [医学免疫学];
学科分类号：
100102 ;
摘要：
In the health sciences it is quite common to carry out studies designed to determine the influence of one or more variables upon a given response variable. When this response variable is numerical, simple or multiple regression techniques are used, depending on the case. If the response variable is a qualitative variable (dichotomic or polychotomic), as for example the presence or absence of a disease, linear regression methodology is not applicable, and simple or multinomial logistic regression is used, as applicable. (C) 2011 SEICAP. Published by Elsevier Espana, S.L. All rights reserved.
引用
收藏
页码：295 / 305
页数：11
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