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The Resource Applied logistic regression analysis, Scott Menard

Applied logistic regression analysis, Scott Menard

Label
Applied logistic regression analysis
Title
Applied logistic regression analysis
Statement of responsibility
Scott Menard
Creator
Subject
Language
eng
Summary
"The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included."--Pub. desc
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Menard, Scott W
Dewey number
519.5/36
Illustrations
illustrations
Index
no index present
LC call number
QA278.2
LC item number
.M46 2002
Literary form
non fiction
Nature of contents
bibliography
Series statement
Sage university papers. Quantitative applications in the social sciences
Series volume
no. 07-106
http://library.link/vocab/subjectName
  • Regression analysis
  • Logistic distribution
  • Logistic Models
  • Regression Analysis
Label
Applied logistic regression analysis, Scott Menard
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 108-110)
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Predictive Efficiency: [lambda subscript p], [tau subscript p], [phi subscript p], and the Binomial Test
  • Examples: Assessing the Adequacy of Logistic Regression Models
  • Conclusion: Summary Measures for Evaluating the Logistic Regression Model
  • Interpreting the Logistic Regression Coefficients
  • Statistical Significance in Logistic Regression Analysis
  • Interpreting Unstandardized Logistic Regression Coefficients
  • Substantive Significance and Standardized Coefficients
  • Exponentiated Coefficients or Odds Ratios
  • More on Categorical Predictors: Contrasts and Interpretation
  • Interaction Effects
  • Linear Regression and the Logistic Regression Model
  • Stepwise Logistic Regression
  • An Introduction to Logistic Regression Diagnostics
  • Specification Error
  • Collinearity
  • Numerical Problems: Zero Cells and Complete Separation
  • Analysis of Residuals
  • Overdispersion and Underdispersion
  • A Suggested Protocol for Logistic Regression Diagnostics
  • Polytomous Logistic Regression and Alternatives to Logistic Regression
  • Polytomous Nominal Dependent Variables
  • Regression Assumptions
  • Nonlinear Relationships and Variable Transformations
  • Probabilities, Odds, Odds Ratios, and the Logit Transformation for Dichotomous Dependent Variables
  • Logistic Regression: A First Look
  • Summary Statistics for Evaluating the Logistic Regression Model
  • R[superscript 2], F, and Sums of Squared Errors
  • Goodness of Fit: G[subscript M], R[superscript 2 subscript L], and the Log Likelihood
Control code
46729126
Dimensions
22 cm
Edition
2nd ed.
Extent
viii, 111 pages
Isbn
9780761922087
Isbn Type
(acid-free paper)
Lccn
2001019806
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
Applied logistic regression analysis, Scott Menard
Publication
Bibliography note
Includes bibliographical references (pages 108-110)
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Predictive Efficiency: [lambda subscript p], [tau subscript p], [phi subscript p], and the Binomial Test
  • Examples: Assessing the Adequacy of Logistic Regression Models
  • Conclusion: Summary Measures for Evaluating the Logistic Regression Model
  • Interpreting the Logistic Regression Coefficients
  • Statistical Significance in Logistic Regression Analysis
  • Interpreting Unstandardized Logistic Regression Coefficients
  • Substantive Significance and Standardized Coefficients
  • Exponentiated Coefficients or Odds Ratios
  • More on Categorical Predictors: Contrasts and Interpretation
  • Interaction Effects
  • Linear Regression and the Logistic Regression Model
  • Stepwise Logistic Regression
  • An Introduction to Logistic Regression Diagnostics
  • Specification Error
  • Collinearity
  • Numerical Problems: Zero Cells and Complete Separation
  • Analysis of Residuals
  • Overdispersion and Underdispersion
  • A Suggested Protocol for Logistic Regression Diagnostics
  • Polytomous Logistic Regression and Alternatives to Logistic Regression
  • Polytomous Nominal Dependent Variables
  • Regression Assumptions
  • Nonlinear Relationships and Variable Transformations
  • Probabilities, Odds, Odds Ratios, and the Logit Transformation for Dichotomous Dependent Variables
  • Logistic Regression: A First Look
  • Summary Statistics for Evaluating the Logistic Regression Model
  • R[superscript 2], F, and Sums of Squared Errors
  • Goodness of Fit: G[subscript M], R[superscript 2 subscript L], and the Log Likelihood
Control code
46729126
Dimensions
22 cm
Edition
2nd ed.
Extent
viii, 111 pages
Isbn
9780761922087
Isbn Type
(acid-free paper)
Lccn
2001019806
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

Library Locations

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      38.944491 -92.326012
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