An Introduction To Survival Analysis Using Stata Second Edition

Author : Mario Cleves
Publisher : Stata Press
ISBN 13 : 1597180416
Total Pages : 398 pages
Book Rating : 4.12/5 ( download)

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Download or read book An Introduction to Survival Analysis Using Stata, Second Edition written by Mario Cleves and published by Stata Press. This book was released on 2008-05-15 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: "[This book] provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves not only as a tutorial for those wishing to learn survival analysis but as a ... reference for experienced researchers ..."--Book jacket.

Author : Mario Cleves
Publisher : Stata Press
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.53/5 ( download)

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Download or read book An Introduction to Survival Analysis Using Stata, Revised Edition written by Mario Cleves and published by Stata Press. This book was released on 2004 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing the statistical concepts unique to survival data, An Introduction to Survival Analysis Using Stata, Revised Edition includes statistical theory, step-by-step procedures for analyzing survival data, a detailed usage guide for Stata's most widely used st commands, and pointers for using Stata to analyze survival data and present the results. The book covers basic theoretical concepts, censoring and truncation, and the preparation of survival data for analysis using Stata's st analysis commands. It also discusses Cox regression and includes various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, and modeling diagnostics. The final chapters fit parametric models using Stata's streg command.

Author : Mario A. Cleves
Publisher : Stata Corporation
ISBN 13 : 9781881228639
Total Pages : 290 pages
Book Rating : 4.30/5 ( download)

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Download or read book An Introduction to Survival Analysis Using Stata written by Mario A. Cleves and published by Stata Corporation. This book was released on 2002 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Mario Alberto Cleves
Publisher :
ISBN 13 : 9781597181747
Total Pages : 428 pages
Book Rating : 4.49/5 ( download)

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Download or read book An Introduction to Survival Analysis Using Stata written by Mario Alberto Cleves and published by . This book was released on 2016 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Survival Analysis Using Stata, Revised Third Edition provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves not only as a tutorial for those wishing to learn survival analysis but also as a valuable reference for experienced researchers interested in using Stata to analyze survival data. The book is written for professional researchers from all disciplines, including biostatistics, epidemiology, public health, medicine, sociology, economics, political science, engineering, and other fields where survival analysis is applicable. Although the book assumes knowledge of statistical principles, basic probability, and working knowledge of Stata, it is practical rather than mathematical in its approach to the subject. The reader of this book will come away not just with understanding of the formulas but also with intuition of how the various survival analysis estimators work and what information they exploit. The reader will also come away with deeper and more comprehensive knowledge of the syntax, features, and underpinnings of Stands survival analysis routines. The revised third edition has been updated to reflect Stata 14, which was released in April 2015. The chapter on power and sample size now uses the power command. A new section demonstrates how to obtain marginal predictions and marginal effects using the margins and marginsplot commands after survival regression models. The authors are also the authors of Stata statistical software, in particular, Stata's widely used survival analysis suite.

Author : David G. Kleinbaum
Publisher : Springer Science & Business Media
ISBN 13 : 1475725558
Total Pages : 332 pages
Book Rating : 4.51/5 ( download)

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Download or read book Survival Analysis written by David G. Kleinbaum and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward and easy-to-follow introduction to the main concepts and techniques of the subject. It is based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. A "user-friendly" layout includes numerous illustrations and exercises and the book is written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets. Each chapter concludes with practice exercises to help readers reinforce their understanding of the concepts covered, before going on to a more comprehensive test. Answers to both are included. Readers will enjoy David Kleinbaums style of presentation, making this an excellent introduction for all those coming to the subject for the first time.

Author : David W. Hosmer, Jr.
Publisher : John Wiley & Sons
ISBN 13 : 1118211588
Total Pages : 285 pages
Book Rating : 4.88/5 ( download)

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Download or read book Applied Survival Analysis written by David W. Hosmer, Jr. and published by John Wiley & Sons. This book was released on 2011-09-23 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functions The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques New discussion of variable selection with multivariable fractional polynomials Further exploration of time-varying covariates, complex with examples Additional treatment of the exponential, Weibull, and log-logistic parametric regression models Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values New examples and exercises at the end of each chapter Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government.

Author : Patrick Royston
Publisher : Stata Press
ISBN 13 : 9781597180795
Total Pages : 0 pages
Book Rating : 4.93/5 ( download)

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Download or read book Flexible Parametric Survival Analysis Using Stata written by Patrick Royston and published by Stata Press. This book was released on 2011-08-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Author : Mehmet Mehmetoglu
Publisher : SAGE
ISBN 13 : 1529788463
Total Pages : 421 pages
Book Rating : 4.64/5 ( download)

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Download or read book Applied Statistics Using Stata written by Mehmet Mehmetoglu and published by SAGE. This book was released on 2022-04-26 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis.

Author : Hans-Peter Blossfeld
Publisher : Routledge
ISBN 13 : 0429522541
Total Pages : 365 pages
Book Rating : 4.43/5 ( download)

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Download or read book Event History Analysis With Stata written by Hans-Peter Blossfeld and published by Routledge. This book was released on 2019-04-12 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, refers to useful substantive background information, gives a short exposition of the underlying statistical concepts, describes the organization of the input data and the application of the statistical Stata procedures, and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application, this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro, meso, and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology, economics, political science, pedagogy, psychology, or demography) who are looking for a practical handbook for their research.

Author : Paul David Allison
Publisher : SAGE
ISBN 13 : 9780803920552
Total Pages : 92 pages
Book Rating : 4.55/5 ( download)

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Download or read book Event History Analysis written by Paul David Allison and published by SAGE. This book was released on 1984-11 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.