Logistic Regression Using The Sas System
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Author |
: Paul D. Allison |
Publisher |
: Wiley-SAS |
Total Pages |
: 308 |
Release |
: 2001-12-21 |
ISBN-10 |
: 0471221759 |
ISBN-13 |
: 9780471221753 |
Rating |
: 4/5 (59 Downloads) |
Synopsis Logistic Regression Using the SAS System by : Paul D. Allison
Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to implement it using the SAS System. Allison includes several detailed, real-world examples of the social sciences to provide readers with a better understanding of the material. He also explores the differences and similarities among the many generalizations of the logistic regression model.
Author |
: Paul D. Allison |
Publisher |
: Wiley-Interscience |
Total Pages |
: 0 |
Release |
: 2008-03-14 |
ISBN-10 |
: 0470388072 |
ISBN-13 |
: 9780470388075 |
Rating |
: 4/5 (72 Downloads) |
Synopsis Logistic Regression Using the SAS System by : Paul D. Allison
This set contains: 9780471221753 Logistic Regression Using the SAS System: Theory and Application by Paul D. Allison and 9780471746966 Regression Analysis by Example, Fourth Edition by Samprit Chatterjee, Ali S. Hadi.
Author |
: SAS Institute |
Publisher |
: Sas Inst |
Total Pages |
: 163 |
Release |
: 1995 |
ISBN-10 |
: 1555446744 |
ISBN-13 |
: 9781555446741 |
Rating |
: 4/5 (44 Downloads) |
Synopsis Logistic Regression Examples Using the SAS System by : SAS Institute
Data set examples show how to create a SAS data set for the raw data and print the data set.
Author |
: Paul D. Allison |
Publisher |
: SAS Institute |
Total Pages |
: 348 |
Release |
: 2012-03-30 |
ISBN-10 |
: 9781629590189 |
ISBN-13 |
: 1629590185 |
Rating |
: 4/5 (89 Downloads) |
Synopsis Logistic Regression Using SAS by : Paul D. Allison
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.
Author |
: Rudolf Freund |
Publisher |
: John Wiley & Sons |
Total Pages |
: 258 |
Release |
: 2000-12-29 |
ISBN-10 |
: 9780471416647 |
ISBN-13 |
: 0471416649 |
Rating |
: 4/5 (47 Downloads) |
Synopsis SAS System for Regression by : Rudolf Freund
SAS® System for Regression Learn to perform a wide variety of regression analyses using SAS® software with this example-driven revised favorite from SAS Publishing. With this Third Edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics covered include performing linear regression analyses using PROC REG diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and the SAS System are assumed. New for this edition The Third Edition includes revisions, updated material, and new material. You’ll find new information on using SAS/INSIGHT® software regression with a binary response with emphasis on PROC LOGISTIC nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, using the OUTEST option to produce a data set, and using PROC SCORE to predict another data set.
Author |
: Paul D. Allison |
Publisher |
: SAS Institute |
Total Pages |
: 337 |
Release |
: 2010-03-29 |
ISBN-10 |
: 9781599948843 |
ISBN-13 |
: 1599948842 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Survival Analysis Using SAS by : Paul D. Allison
Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events. Survival Analysis Using SAS: A Practical Guide, Second Edition, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data. This book is part of the SAS Press program.
Author |
: Paul Allison |
Publisher |
: |
Total Pages |
: 302 |
Release |
: 1999 |
ISBN-10 |
: OCLC:1105771814 |
ISBN-13 |
: |
Rating |
: 4/5 (14 Downloads) |
Synopsis Logistic Regression Using SAS® by : Paul Allison
If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, this book 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 the SAS System. Several social science 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 logit analysis, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis with the PHREG procedure, 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. Supports releases 6.12 and higher of SAS software.
Author |
: Scott Menard |
Publisher |
: SAGE |
Total Pages |
: 130 |
Release |
: 2002 |
ISBN-10 |
: 0761922083 |
ISBN-13 |
: 9780761922087 |
Rating |
: 4/5 (83 Downloads) |
Synopsis Applied Logistic Regression Analysis by : Scott Menard
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. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.
Author |
: Sas |
Publisher |
: Sas Inst |
Total Pages |
: |
Release |
: 2000-12-01 |
ISBN-10 |
: 1580258247 |
ISBN-13 |
: 9781580258241 |
Rating |
: 4/5 (47 Downloads) |
Synopsis Logistic Regression Examples Using the Sas System, Version 6, Pdf Format by : Sas
Author |
: |
Publisher |
: |
Total Pages |
: 142 |
Release |
: 2019-06-21 |
ISBN-10 |
: 164295487X |
ISBN-13 |
: 9781642954876 |
Rating |
: 4/5 (7X Downloads) |
Synopsis Exploring Modern Regression Methods Using SAS by :
This special collection of SAS Global Forum papers demonstrates new and enhanced capabilities and applications of lesser-known SAS/STAT and SAS Viya procedures for regression models. The goal here is to raise awareness of current valuable SAS/STAT content of which the user may not be aware. Also available free as a PDF from sas.com/books.