Improved Logistic Regression Approach to Predict the Potential Distribution of Invasive Species Using Information Theory and Frequency Statistics

2006 ◽  
Author(s):  
Hao Chen ◽  
Lijun Chen ◽  
Thomas P. Albright ◽  
Qinfeng Guo
Keyword(s):  
Information Theory ◽  
Invasive Species ◽  
Logistic Regression ◽  
Potential Distribution ◽  
Regression Approach

scholarly journals Evaluating Methods for Modeling Epistasis Networks with Application to Head and Neck Cancer

2015 ◽  
Vol 14s2 ◽  
pp. CIN.S17289
Author(s):  
Rajesh Talluri ◽  
Sanjay Shete
Keyword(s):  
Information Theory ◽  
Logistic Regression ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Genome Wide Association Study ◽  
Interaction Effects ◽  
Theory Approach ◽  
Nucleotide Polymorphisms ◽  
Regression Approach

Epistasis helps to explain how multiple single-nucleotide polymorphisms (SNPs) interact to cause disease. A variety of tools have been developed to detect epistasis. In this article, we explore the strengths and weaknesses of an information theory approach for detecting epistasis and compare it to the logistic regression approach through simulations. We consider several scenarios to simulate the involvement of SNPs in an epistasis network with respect to linkage disequilibrium patterns among them and the presence or absence of main and interaction effects. We conclude that the information theory approach more efficiently detects interaction effects when main effects are absent, whereas, in general, the logistic regression approach is appropriate in all scenarios but results in higher false positives. We compute epistasis networks for SNPs in the FSD1L gene using a two-phase head and neck cancer genome-wide association study involving 2,185 cases and 4,507 controls to demonstrate the practical application of the methods.

Using sellar region tumor’s size as a predictor of psychophysical and electrophysiological perimetric visual losses: a logistic regression approach

2019 ◽  
Vol 139 (3) ◽  
pp. 235-245
Author(s):  
Carlos Augusto Ferreira Lobão ◽  
Letícia Miquilini ◽  
Breno Simões Ribeiro da Silva ◽  
Verônica Gabriela Ribeiro da Silva ◽  
Eliza Maria da Costa Brito Lacerda ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sellar Region ◽  
Regression Approach

scholarly journals Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

2019 ◽  
Vol 108 ◽  
pp. 182-195 ◽  
Author(s):  
Elisa Cuadrado-Godia ◽  
Ankush D. Jamthikar ◽  
Deep Gupta ◽  
Narendra N. Khanna ◽  
Tadashi Araki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Risk Calculator ◽  
Regression Approach

scholarly journals Determinants of return to work after maternity leave in Russia: A logistic regression approach

2020 ◽  
Vol 18 (3) ◽  
pp. 363-382
Author(s):  
Aleksandra K. Bordunos ◽  
◽  
Sofia V. Kosheleva ◽  
Anna Zyryanova ◽  
◽  
...  
Keyword(s):  
Logistic Regression ◽  
Return To Work ◽  
Maternity Leave ◽  
Personal Characteristics ◽  
Identity Work ◽  
Organizational Control ◽  
Work Identity ◽  
Gender And Work ◽  
Regression Approach ◽  
Returning To Work

This paper aims to identify the determinants of return to work after maternity leave in Russia. Can an organisation influence employees’ decision about withdrawal from the market after leave arrangement, or does it fully depend on the contextual and personal characteristics of the employee, as assumed by the discourses of merit and choice? Logistic regression analysis helps to answer the raised questions, referring to responses of 721 mothers with previous working experience. The research revealed that employers indeed can improve inclusion of employees with childcare commitments, fostering their return after the maternity leave. Despite high regional diversity of Russian population, contextual specificity barely influences the decision of employees regarding their returning to work with the same employer, similarly to their level of education, firms’ equity or amount of children. Among personal characteristics, income was found to play an important role in return decisions, as well as the age of the smallest child. The paper contributes to the debates on the fluidity of gender and work identity as well as organizational control over the identity work.

Sign in / Sign up

Export Citation Format

Share Document