跳至主要内容

博文

目前显示的是标签为“Logistic Regression”的博文

Age, Race and Gender Spatiotemporal Disparities of COPD Emergency Room Visits in Houston, Texas

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53779#.VNMYOizQrzE Author(s)   Faye Anderson * , Arch Carson , Lawrence Whitehead , Keith Burau Affiliation(s) Texas A & M AgriLIFE Research Center, Beaumont, Texas, USA . ABSTRACT Chronic obstructive pulmonary disease (COPD) is one of the major causes of morbidity and mortality in the United State. The investigation of the continuing increase in its prevalence and mortality has increased attempts to further understand its causes and how to manage it. Understanding the spatial and temporal distribution of COPD emergency room (ER) visits in Harris County (Houston) can guide these efforts in a uniform yet diverse setting like this one. The objectives of this study were to identify the temporal and spatial variations of COPD emergency room visits adjusted by age, gender, ethnicity, day of the week, month, and year, and to estimate the odds ratio of ...

Usage as Complementary Correspondence Analysis and Logistic Regression in a Scientific Survey on Self Healing Methods

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52717#.VKH_0cCAM4 Author(s)      Zerrin Asan Greenacre , Levent Terlemez , Sevil Sentürk Affiliation(s) Statistic Department, Science Faculty, Anadolu Univesity, Eskisehir, Turkey . ABSTRACT The aim of this study is to show complementary usage of logistic and correspondence analysis in a research subject to self-healing methodologies. Firstly, the number of the variables is reduced by logistic regression according to relationship between dependent and independent variables and then research carries on searching variables. The relationship among the behaviours of individuals and their demographic characteristic...

Effect Modeling of Count Data Using Logistic Regression with Qualitative Predictors

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51360#.VGVeSmfHRK0 Author(s) Haeil Ahn Affiliation(s) Department of Industrial Engineering, Seokyeong University, Seoul, Republic of Korea . ABSTRACT We modeled binary count data with categorical predictors, using logistic regression to develop a statistical method. We found that ANOVA-type analyses often performed unsatisfactorily, even when using different transformations. The logistic transformation of fraction data could be an alternative, but it is not desirable in the statistical sense. We concluded that such methods are not appropriate, especially in cases where the fractions were close to 0 or 1. The major purpose of thi...