Practical Guide to Logistic Regression, Hilbe, Joseph M.

Автор: Hooshang Nayebi
Название: Advanced Statistics for Testing Assumed Causal Relationships
ISBN: 3030547531 ISBN-13(EAN): 9783030547530
Издательство: Springer
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Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Автор: Nayebi Hooshang
Название: Advanced Statistics for Testing Assumed Causal Relationships: Multiple Regression Analysis Path Analysis Logistic Regression Analysis
ISBN: 3030547566 ISBN-13(EAN): 9783030547561
Издательство: Springer
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Автор: Allison Paul D.
Название: Logistic Regression Using SAS: Theory and Application, Second Edition
ISBN: 1635269091 ISBN-13(EAN): 9781635269093
Издательство: Неизвестно
Цена: 112740.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Several real-world examples are included in full detail. This book also explains the differences and similarities among the many generalizations of the logistic regression model. The following topics are covered: binary logistic regression, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis, and Poisson regression. Other highlights include discussions on how to use the GENMOD procedure to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second edition describes many new features of PROC LOGISTIC, including conditional logistic regression, exact logistic regression, generalized logit models, ROC curves, the ODDSRATIO statement (for analyzing interactions), and the EFFECTPLOT statement (for graphing nonlinear effects). Also new is coverage of PROC SURVEYLOGISTIC (for complex samples), PROC GLIMMIX (for generalized linear mixed models), PROC QLIM (for selection models and heterogeneous logit models), and PROC MDC (for advanced discrete choice models).

This book is part of the SAS Press program.

Автор: Allison Paul David, Sas Institute
Название: Logistic Regression Using SAS: Theory and Application
ISBN: 1599946416 ISBN-13(EAN): 9781599946412
Издательство: Неизвестно
Цена: 86990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Includes several real-world examples in full detail.

Автор: Frank E. Harrell , Jr.
Название: Regression Modeling Strategies
ISBN: 331933039X ISBN-13(EAN): 9783319330396
Издательство: Springer
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Цена: 69870.00 T
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Описание: Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.

Автор: Vittinghoff
Название: Regression Methods in Biostatistics
ISBN: 0387202757 ISBN-13(EAN): 9780387202754
Издательство: Springer
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Цена: 75420.00 T
Наличие на складе: Нет в наличии.
Описание: An introduction to the multipredictor regression methods widely used in biostatistics. This book covers linear models for continuous outcomes; logistic models for binary outcomes; the Cox model for right-censored survival times; repeated-measures models for longitudinal and hierarchical outcomes; and linear models for counts and other outcomes.

Автор: Hilbe, Joseph M.
Название: Logistic Regression Models
ISBN: 1420075756 ISBN-13(EAN): 9781420075755
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Название: Regression Modeling Strategies
ISBN: 3319194240 ISBN-13(EAN): 9783319194240
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.

Автор: Eric Vittinghoff; David V. Glidden; Stephen C. Shi
Название: Regression Methods in Biostatistics
ISBN: 1489998543 ISBN-13(EAN): 9781489998545
Издательство: Springer
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Цена: 79190.00 T
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Описание: This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.

Автор: Werner Vach
Название: Logistic Regression with Missing Values in the Covariates
ISBN: 0387942637 ISBN-13(EAN): 9780387942636
Издательство: Springer
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Цена: 107130.00 T
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Описание: The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness.

Автор: David W. Hosmer Jr.,Stanley Lemeshow,Rodney X. Stu
Название: Applied Logistic Regression
ISBN: 0470582472 ISBN-13(EAN): 9780470582473
Издательство: Wiley
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Цена: 126670.00 T
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Описание: This new edition provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables.

Автор: David G. Kleinbaum; Mitchel Klein
Название: Logistic Regression
ISBN: 1493936972 ISBN-13(EAN): 9781493936977
Издательство: Springer
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Цена: 83810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This highly readable book describes fundamental and advanced concepts and methods of logistic regression. The 3rd edition includes three new chapters, an updated computer appendix, and an expanded section on modeling guidelines that consider causal diagrams.