Jump to ContentJump to Main Navigation

You are looking at 1-20 of 41 items

  • Keywords: logistic regression x
Clear All Modify Search

View:

Ordinary Least Squares and Logistic Regression Analysis

David Sanders and Malcolm Brynin

in Research Strategies in the Social Sciences: A Guide to New Approaches

Published in print:
1998
Published Online:
November 2003
ISBN:
9780198292371
eISBN:
9780191600159
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/0198292376.003.0003
Subject:
Political Science, Reference

Setting out the basic regression model, and comparing the analytic efficacy of the OLS the model and its extension to logistic regression.


Regression with a Polytomous Dependent Variable Regression with a Polytomous Dependent Variable

John G. Orme and Terri Combs-Orme

in Multiple Regression with Discrete Dependent Variables

Published in print:
2009
Published Online:
May 2009
ISBN:
9780195329452
eISBN:
9780199864812
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195329452.003.0003
Subject:
Social Work, Research and Evaluation

This chapter describes the use of multinomial logistic regression (also known as polytomous or nominal logistic or logit regression or the discrete choice model), a method for modeling relationships ... More


Identifying factors associated with the spatial distribution of disease

Dirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, and Archie C. A. Clements

in Spatial Analysis in Epidemiology

Published in print:
2008
Published Online:
September 2008
ISBN:
9780198509882
eISBN:
9780191709128
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198509882.003.0007
Subject:
Biology, Disease Ecology / Epidemiology

This chapter presents analytical techniques of regression and discrimination as a means of quantifying the effect of a set of explanatory variables on the spatial distribution of a particular ... More


Statistical Alternatives and Supplements to Random Sampling

Patrick Dattalo

in Strategies to Approximate Random Sampling and Assignment

Published in print:
2009
Published Online:
February 2010
ISBN:
9780195378351
eISBN:
9780199864645
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195378351.003.0003
Subject:
Social Work, Research and Evaluation

This chapter describes the following alternatives and complements to RS in terms of their assumptions, implementations, strengths, and weaknesses: (1) randomization tests; (2) multiple imputation; ... More


Introduction to consumer credit and credit scoring

Lyn C. Thomas

in Consumer Credit Models: Pricing, Profit and Portfolios

Published in print:
2009
Published Online:
May 2009
ISBN:
9780199232130
eISBN:
9780191715914
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199232130.003.0001
Subject:
Mathematics, Applied Mathematics, Mathematical Finance

This chapter outlines what is meant by a credit score, why it is an integral part of the decision process in lending to consumers, and how credit scoring systems are built. After describing the ... More


The Analysis of Binary Data: Logistic Model II

Steve Selvin

in Statistical Analysis of Epidemiologic Data

Published in print:
2004
Published Online:
September 2009
ISBN:
9780195172805
eISBN:
9780199865697
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195172805.003.08
Subject:
Public Health and Epidemiology, Public Health, Epidemiology

The three basic features of the logistic regression model are the appropriateness of binary outcome variables, estimation of adjusted odd ratios as a measure of association, and the effective ... More


Strategies to Approximate Random Sampling and Assignment

Patrick Dattalo

Published in print:
2009
Published Online:
February 2010
ISBN:
9780195378351
eISBN:
9780199864645
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195378351.001.0001
Subject:
Social Work, Research and Evaluation

Random sampling (RS) and random assignment (RA) are considered by many researchers to be the definitive methodological procedures for maximizing external and internal validity. However, there is a ... More


The Discrete-Time Models

Guo Shenyang

in Survival Analysis

Published in print:
2009
Published Online:
January 2010
ISBN:
9780195337518
eISBN:
9780199864256
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195337518.003.0003
Subject:
Social Work, Research and Evaluation

This chapter reviews the first type of multivariate model analyzing time-to-event data: the discrete-time models. The primary feature of this type of model is its approximation of hazard rate by ... More


Redundancy: Environment Structure That Simple Heuristics Can Exploit

Jörg Rieskamp and Anja Dieckmann

in Ecological Rationality: Intelligence in the World

Published in print:
2012
Published Online:
May 2012
ISBN:
9780195315448
eISBN:
9780199932429
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195315448.003.0056
Subject:
Psychology, Cognitive Psychology, Human-Technology Interaction

This chapter argues that information redundancy in environments has a major impact on the accuracy and frugality of inference heuristics. In a simulation study, under high information redundancy ... More


Multiple Regression with Discrete Dependent Variables

John G. Orme and Terri Combs-Orme

Published in print:
2009
Published Online:
May 2009
ISBN:
9780195329452
eISBN:
9780199864812
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195329452.001.0001
Subject:
Social Work, Research and Evaluation

This book presents detailed discussions of regression models that are appropriate for discrete dependent variables, including dichotomous, polychotomous, ordered, and count variables. The major ... More


Advanced Statistical Analysis

Harvey Checkoway, Neil Pearce, and David Kriebel

in Research Methods in Occupational Epidemiology

Published in print:
2004
Published Online:
September 2009
ISBN:
9780195092424
eISBN:
9780199864553
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195092424.003.0009
Subject:
Public Health and Epidemiology, Public Health, Epidemiology

Stratified analyses may not be feasible if there are multiple exposure categories or two or more than two or three confounders. In this situation, multiple regression methods are required. This ... More


Nonspatial Statistical Modeling of Plant Diversity

Thomas J. Stohlgren

in Measuring Plant Diversity: Lessons from the Field

Published in print:
2006
Published Online:
September 2007
ISBN:
9780195172331
eISBN:
9780199790395
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195172331.003.0013
Subject:
Biology, Plant Sciences and Forestry

This chapter presents selected examples of non-spatial statistical modeling of plant diversity including correlation and simple regression, multiple regression, path coefficient analysis, canonical ... More


The Analysis of Contingency Table Data: Logistic Model I

Steve Selvin

in Statistical Analysis of Epidemiologic Data

Published in print:
2004
Published Online:
September 2009
ISBN:
9780195172805
eISBN:
9780199865697
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195172805.003.07
Subject:
Public Health and Epidemiology, Public Health, Epidemiology

This chapter discusses the use of a logistic regression model to analyze data classified into a multiway table. Topics covered include the simplest model, the 2 x 2 x 2 table, the 2 x k table, the 2 ... More


Naïve, Fast, and Frugal Trees for Classification

Laura F. Martignon, Konstantinos V. Katsikopoulos, and Jan K. Woike

in Ecological Rationality: Intelligence in the World

Published in print:
2012
Published Online:
May 2012
ISBN:
9780195315448
eISBN:
9780199932429
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195315448.003.0106
Subject:
Psychology, Cognitive Psychology, Human-Technology Interaction

Naïve, fast, and frugal trees model simple classification strategies that ignore cue dependencies and process cues sequentially, one at a time. At every level of such a tree a classification is made ... More


Local Regression and Likelihood

Partha P. Mitra and Hemant Bokil

in Observed Brain Dynamics

Published in print:
2007
Published Online:
May 2009
ISBN:
9780195178081
eISBN:
9780199864829
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195178081.003.0013
Subject:
Neuroscience, Techniques, Molecular and Cellular Systems

Local regression and likelihood methods are nonparametric approaches for fitting regression functions and probability distributions to data. This chapter discusses the basic ideas behind these ... More


Internal Evidence for Continuity and Contact

Ricardo Otheguy and Ana Celia Zentella

in Spanish in New York: Language Contact, Dialectal Leveling, and Structural Continuity

Published in print:
2012
Published Online:
January 2012
ISBN:
9780199737406
eISBN:
9780199918621
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199737406.003.0008
Subject:
Linguistics, Sociolinguistics / Anthropological Linguistics

The study of internal (grammatical and discourse‐communicative) independent variables is distinguished from external social variables. Multivariate analysis is now logistic regression. Explanations ... More


Analysis of DNA methylation in cancer

Fabian Model, Jörn Lewin, Catherine Lofton-Day, and Gunter Weiss

in Statistics and Informatics in Molecular Cancer Research

Published in print:
2009
Published Online:
September 2009
ISBN:
9780199532872
eISBN:
9780191714467
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199532872.003.0005
Subject:
Mathematics, Probability / Statistics, Biostatistics

This chapter gives an overview of algorithms and statistical methods used for measuring and analyzing DNA methylation in cancer research. It starts with a short introduction into the biology of DNA ... More


Gibbs sampling for ordinary, robust and logistic regression with Laplace priors

Robert B Gramacy

in Bayesian Theory and Applications

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199695607
eISBN:
9780191744167
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199695607.003.0023
Subject:
Mathematics, Probability / Statistics

This chapter reviews the ideas behind the Gibbs samplers for both ordinary least squares (OLS) and logistic regression under regularization, focusing on the Laplace prior. The chapter is organized as ... More


Worked Examples

Patrick Dattalo

in Determining Sample Size: Balancing Power, Precision, and Practicality

Published in print:
2008
Published Online:
January 2009
ISBN:
9780195315493
eISBN:
9780199865475
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195315493.003.0006
Subject:
Social Work, Research and Evaluation

This chapter demonstrates a priori sample size determination strategies presented in previous chapters. Specifically, for each procedure, minimum sample size are estimated with power analysis and ... More


Multi‐Level Modelling and Contingent Valuation

Ian H. Langford and Ian J. Bateman

in Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EU , and developing Countries

Published in print:
2001
Published Online:
November 2003
ISBN:
9780199248919
eISBN:
9780191595950
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/0199248915.003.0012
Subject:
Economics and Finance, Development, Growth, and Environmental

This chapter explores, in an introductory manner, the potential advantages of using multi‐level modelling in a range of contingent valuation (CV) survey designs. Section 12.2 briefly reviews the ... More


View: