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An Introduction to Survival Analysis Using Stata, Second Edition

An Introduction to Survival Analysis Using Stata, Second Edition
Author: Mario Cleves
Publisher: Stata Press
Total Pages: 398
Release: 2008-05-15
Genre: Computers
ISBN: 1597180416

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"[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.


An Introduction to Survival Analysis Using Stata, Revised Edition

An Introduction to Survival Analysis Using Stata, Revised Edition
Author: Mario Cleves
Publisher: Stata Press
Total Pages: 332
Release: 2004
Genre: Business & Economics
ISBN:

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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.


An Introduction to Survival Analysis Using Stata

An Introduction to Survival Analysis Using Stata
Author: Mario Alberto Cleves
Publisher:
Total Pages: 428
Release: 2016
Genre: Failure time data analysis
ISBN: 9781597181747

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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.


Survival Analysis

Survival Analysis
Author: David G. Kleinbaum
Publisher: Springer Science & Business Media
Total Pages: 332
Release: 2013-04-18
Genre: Medical
ISBN: 1475725558

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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.


Applied Survival Analysis

Applied Survival Analysis
Author: David W. Hosmer, Jr.
Publisher: John Wiley & Sons
Total Pages: 285
Release: 2011-09-23
Genre: Mathematics
ISBN: 1118211588

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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.


Applied Statistics Using Stata

Applied Statistics Using Stata
Author: Mehmet Mehmetoglu
Publisher: SAGE
Total Pages: 421
Release: 2022-04-26
Genre: Social Science
ISBN: 1529788463

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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.


Introducing Survival and Event History Analysis

Introducing Survival and Event History Analysis
Author: Melinda Mills
Publisher: SAGE
Total Pages: 301
Release: 2011-01-19
Genre: Social Science
ISBN: 1848601026

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This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.


Handbook of Statistical Analyses Using Stata

Handbook of Statistical Analyses Using Stata
Author: Brian S. Everitt
Publisher: CRC Press
Total Pages: 354
Release: 2006-11-15
Genre: Mathematics
ISBN: 1466580577

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With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many