Search Results for "logistic-regression-using-sas-theory-and-application-second-edition"

Logistic Regression Using SAS

Logistic Regression Using SAS

Theory and Application, Second Edition

  • Author: Paul D. Allison
  • Publisher: SAS Institute
  • ISBN: 1607649950
  • Category: Mathematics
  • Page: 348
  • View: 1295
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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.

Logistic Regression Using the SAS System

Logistic Regression Using the SAS System

Theory and Application

  • Author: Paul David Allison
  • Publisher: SAS Institute
  • ISBN: 9781590475331
  • Category: Computers
  • Page: 288
  • View: 1551
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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, Paul Allison's Logistic Regression Using SAS: Theory and Application both explains the theory behind logistic regression and looks at all the practical details involved in its implementation using SAS. Several social science real-world examples are included in full detail. The 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 of how to use the GENMOD procedure to do log-linear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed.

Data mining

Data mining

praktische Werkzeuge und Techniken für das maschinelle Lernen

  • Author: Ian H. Witten,Eibe Frank
  • Publisher: N.A
  • ISBN: 9783446215337
  • Category:
  • Page: 386
  • View: 3126
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Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R

  • Author: Olga Korosteleva
  • Publisher: CRC Press
  • ISBN: 1351690078
  • Category: Mathematics
  • Page: 14
  • View: 9896
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Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on model accuracy and the interpretation of results. For each regression, the fitted model is presented along with interpretation of estimated regression coefficients and prediction of response for given values of predictors. Features: Presents the theoretical framework for each regression. Discusses data that are categorical, count, proportions, right-skewed, longitudinal and hierarchical. Uses examples based on real-life consulting projects. Provides complete SAS and R codes for each example. Includes several exercises for every regression. Advanced Regression Models with SAS and R is designed as a text for an upper division undergraduate or a graduate course in regression analysis. Prior exposure to the two software packages is desired but not required. The Author: Olga Korosteleva is a Professor of Statistics at California State University, Long Beach. She teaches a large variety of statistical courses to undergraduate and master’s students. She has published three statistical textbooks. For a number of years, she has held the position of faculty director of the statistical consulting group. Her research interests lie mostly in applications of statistical methodology through collaboration with her clients in health sciences, nursing, kinesiology, and other fields.

Biostatistics for Animal Science, 3rd Edition

Biostatistics for Animal Science, 3rd Edition

  • Author: Miroslav Kaps,William R Lamberson
  • Publisher: CABI
  • ISBN: 1786390353
  • Category: Medical
  • Page: 561
  • View: 8064
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Designed to cover techniques for analysis of data in the animal sciences, this popular textbook provides an overview of the basic principles of statistics enabling the subsequent applications to be carried out with familiarity and understanding. Each chapter begins by introducing a problem with practical questions, followed by a brief theoretical background. Most topics are followed up with numerical examples to illustrate the methods described using data-sets from animal sciences and related fields. The same examples are then solved using the SAS software package. Written primarily for students and researchers in animal sciences, the text is also useful for those studying agricultural, biological, and veterinary sciences.

Presenting Medical Statistics from Proposal to Publication

Presenting Medical Statistics from Proposal to Publication

  • Author: Janet L. Peacock,Sally M. Kerry,Raymond R. Balise
  • Publisher: Oxford University Press
  • ISBN: 0192510886
  • Category: Medical
  • Page: 224
  • View: 1464
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As many medical and healthcare researchers have a love-hate relationship with statistics, the second edition of this practical reference book may make all the difference. Using practical examples, mainly from the authors' own research, the book explains how to make sense of statistics, turn statistical computer output into coherent information, and help decide which pieces of information to report and how to present them. The book takes you through all the stages of the research process, from the initial research proposal, through ethical approval and data analysis, to reporting on and publishing the findings. Helpful tips and information boxes, offer clear guidance throughout, including easily followed instructions on how to: -develop a quantitative research proposal for ethical/institutional approval or research funding -write up the statistical aspects of a paper for publication -choose and perform simple and more advanced statistical analyses -describe the statistical methods and present the results of an analysis. This new edition covers a wider range of statistical programs - SAS, STATA, R, and SPSS, and shows the commands needed to obtain the analyses and how to present it, whichever program you are using. Each specific example is annotated to indicate other scenarios that can be analysed using the same methods, allowing you to easily transpose the knowledge gained from the book to your own research. The principles of good presentation are also covered in detail, from translating relevant results into suitable extracts, through to randomised controlled trials, and how to present a meta-analysis. An added ingredient is the inclusion of code and datasets for all analyses shown in the book on our website (http://medical-statistics.info). Written by three experienced biostatisticians based in the UK and US, this is a step-by-step guide that will be invaluable to researchers and postgraduate students in medicine, those working in the professions allied to medicine, and statisticians in consultancy roles.

Survival Analysis Using SAS

Survival Analysis Using SAS

A Practical Guide, Second Edition

  • Author: Paul D. Allison
  • Publisher: SAS Institute
  • ISBN: 9781599948843
  • Category: Mathematics
  • Page: 336
  • View: 3669
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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.

Asset Management für Infrastrukturanlagen - Energie und Wasser

Asset Management für Infrastrukturanlagen - Energie und Wasser

  • Author: Gerd Balzer,Christian Schorn
  • Publisher: Springer-Verlag
  • ISBN: 9783642053924
  • Category: Technology & Engineering
  • Page: 340
  • View: 2663
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Die Aufgabe eines Versorgungsunternehmens besteht darin, seine Kunden zuverlässig mit Elektrizität, Gas oder Wasser zu versorgen. Um diese Aufgabe in einem regulierten Markt zu erfüllen, können Versorgungsunternehmen neue Strukturen und Verfahren entwickeln. Damit sie dabei sowohl den Eigentümern als auch der Regulierungsinstanz gerecht werden, ist es sinnvoll, bisherige Prozesse neu zu strukturieren. Die Autoren liefern einen umfassenden Überblick zu Asset-Management-Prozessen, die derzeit in Versorgungsunternehmen umgesetzt werden.

Biostatistics for Animal Science

Biostatistics for Animal Science

  • Author: Miroslav Kaps,William R. Lamberson
  • Publisher: CABI
  • ISBN: 1845935403
  • Category: Technology & Engineering
  • Page: 504
  • View: 3528
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Designed to cover techniques for analysis of data in the animal sciences, this textbook provides an overview of the basic principles of statistics enabling the subsequent applications to be carried out with familiarity and understanding, followed by more complex applications and detailed procedures commonly used in animal sciences. Each chapter begins by introducing a problem with practical questions, followed by a brief theoretical background, and is supplemented with an abundance of examples in SAS from animal sciences and related fields. Key features: - New larger format and updated throughout - Covers both basic techniques and more complex procedures - Contains exercises for readers to work through

Ökonometrie für Dummies

Ökonometrie für Dummies

  • Author: Roberto Pedace
  • Publisher: John Wiley & Sons
  • ISBN: 3527801529
  • Category: Business & Economics
  • Page: 388
  • View: 7473
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Theorien verstehen und Techniken anwenden Was haben die Gehälter von Spitzensportlern und der Mindestlohn gemeinsam? Richtig, man kann sie mit Ökonometrie erforschen. Im Buch steht, wie es geht. Und nicht nur dafür, sondern für viele weitere Gebiete lohnt es sich, der zunächst etwas trocken und sperrig anmutenden Materie eine Chance zu geben. Lernen Sie von den Autoren, wie Sie spannende Fragen formulieren, passende Variablen festlegen, treffsichere Modelle entwerfen und Ihre Aussagen auf Herz und Nieren prüfen. Werden Sie sicher im Umgang mit Hypothesentests, Regressionsmodellen, Logit- & Probit-Modellen und allen weiteren gängigen Methoden der Ökonometrie. So begleitet Ökonometrie für Dummies Sie Schritt für Schritt und mit vielen Beispielen samt R Output durch dieses spannende Thema.

Social Purpose Enterprises

Social Purpose Enterprises

Case Studies for Social Change

  • Author: Jack Quarter,Sherida Ryan,Andrea Chan
  • Publisher: University of Toronto Press
  • ISBN: 1442663790
  • Category: Business & Economics
  • Page: 324
  • View: 2423
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Social Purpose Enterprises: Case Studies for Social Change presents case studies of twelve organizations that operate in a growing niche within the Canadian social economy: market-based entities supported by a nonprofit organization and operated for the benefit of a workforce who lives on the margins of society. Using a variety of research methods, the contributors examine the work of social purpose enterprises in a range of businesses including food services, child care, furniture, courier services, and microfinance. Combining the experience of academics and practitioners, each chapter analyses the economic, social, and policy implications of the case. Building on research published in Researching the Social Economy (2010) and Businesses with a Difference (2013), Social Purpose Enterprises provides a valuable resource for those involved in the growing push to encourage market-based solutions for those on the social margins.

Zahnärztliche Chirurgie

Zahnärztliche Chirurgie

35 Tabellen

  • Author: Norbert Schwenzer
  • Publisher: Georg Thieme Verlag
  • ISBN: 9783131169631
  • Category: Dentistry, Operative
  • Page: 328
  • View: 2191
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big data @ work

big data @ work

Chancen erkennen, Risiken verstehen

  • Author: Thomas H. Davenport
  • Publisher: Vahlen
  • ISBN: 3800648156
  • Category: Fiction
  • Page: 214
  • View: 3725
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Big Data in Unternehmen. Dieses neue Buch gibt Managern ein umfassendes Verständnis dafür, welche Bedeutung Big Data für Unternehmen zukünftig haben wird und wie Big Data tatsächlich genutzt werden kann. Am Ende jedes Kapitels aktivieren Fragen, selbst nach Lösungen für eine erfolgreiche Implementierung und Nutzung von Big Data im eigenen Unternehmen zu suchen. Die Schwerpunkte - Warum Big Data für Sie und Ihr Unternehmen wichtig ist - Wie Big Data Ihre Arbeit, Ihr Unternehmen und Ihre Branche verändern - - wird - Entwicklung einer Big Data-Strategie - Der menschliche Aspekt von Big Data - Technologien für Big Data - Wie Sie erfolgreich mit Big Data arbeiten - Was Sie von Start-ups und Online-Unternehmen lernen können - Was Sie von großen Unternehmen lernen können: Big Data und Analytics 3.0 Der Experte Thomas H. Davenport ist Professor für Informationstechnologie und -management am Babson College und Forschungswissenschaftler am MIT Center for Digital Business. Zudem ist er Mitbegründer und Forschungsdirektor am International Institute for Analytics und Senior Berater von Deloitte Analytics.

Primer of Applied Regression & Analysis of Variance, Third Edition

Primer of Applied Regression & Analysis of Variance, Third Edition

  • Author: Stanton A. Glantz,Bryan K. Slinker,Torsten B. Neilands
  • Publisher: McGraw Hill Professional
  • ISBN: 0071822445
  • Category: Medical
  • Page: 992
  • View: 762
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A textbook on the use of advanced statistical methods in healthcare sciences Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background. The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA. Four completely new chapters Completely updated software information and examples

Grundlagen zur Neuroinformatik und Neurobiologie

Grundlagen zur Neuroinformatik und Neurobiologie

The Computational Brain in deutscher Sprache

  • Author: Patricia S. Churchland,Terrence J. Sejnowski
  • Publisher: Springer-Verlag
  • ISBN: 3322868214
  • Category: Technology & Engineering
  • Page: 702
  • View: 4972
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The Computational Brain, das außergewöhnliche Buch über vergleichende Forschung in den Bereichen von menschlichem Gehirn und neuesten Möglichkeiten der Computertechnologie, liegt hiermit erstmals in deutscher Sprache vor. Geschrieben von einem führenden Forscherteam in den USA, ist es eine Fundgrube für alle, die wissen wollen, was der Stand der Wissenschaft auf diesem Gebiet ist. Die Autoren führen die Bereiche der Neuroinformatik und Neurobiologie mit gut ausgesuchten Beispielen und der gebotenen Hintergrundinformation gekonnt zusammen. Das Buch wird somit nicht nur dem Fachwissenschaftler sondern auch dem interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht. Übersetzt wurde das Buch von Prof. Dr. Steffen Hölldobler und Dipl.-Biol. Claudia Hölldobler, einem Informatiker und einer Biologin. Rezension in Spektrum der Wissenschaft nr. 10, S. 122 f. im Oktober 1997 (...) Die 1992 erschienene amerikanische Originalausgabe des vorliegenden Werkes ist so erfolgreich, daß man bereits von einem Klassiker reden kann. (...) (...) ....ist das Buch sehr zu empfehlen. In Verbindung von Neurobiologie und Neuroinformatik konkurrenzlos, vermittelt es einiges von der Faszination theoretischer Hirnforschung, die auch in Deutschland zunehmend mehr Wissenschaftler in ihren Bann schlägt. Rezension erschienen in: Computer Spektrum 3/1997, S. 2 (...)Das Buch wird somit nicht nur dem Fachwissenschaftler, sondern auch den interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht(...)

Tagebuch über die Informationstheorie

Tagebuch über die Informationstheorie

  • Author: Alfréd Rényi
  • Publisher: Birkhauser
  • ISBN: 9783764310066
  • Category: Mathematics
  • Page: 173
  • View: 9124
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Practical Statistical Methods

Practical Statistical Methods

A SAS Programming Approach

  • Author: Lakshmi Padgett
  • Publisher: CRC Press
  • ISBN: 1439812543
  • Category: Mathematics
  • Page: 304
  • View: 2202
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Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

Wissenschaftliche Abhandlungen

Wissenschaftliche Abhandlungen

  • Author: Ludwig Boltzmann
  • Publisher: American Mathematical Soc.
  • ISBN: 9780821829264
  • Category:
  • Page: N.A
  • View: 9975
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