Modelling Survival Data In Medical Research Third Edition PDF Download
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Author | : David Collett |
Publisher | : CRC Press |
Total Pages | : 538 |
Release | : 2015-05-04 |
Genre | : Mathematics |
ISBN | : 1498731694 |
Download Modelling Survival Data in Medical Research Book in PDF, ePub and Kindle
Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range of examples from biomedical research.Well known for its nontechnical style, this third edition contains new chapters on frailty models and their applications, competing risks, non-proportional hazards, and dependent censo
Author | : D. Collett |
Publisher | : CRC Pressis |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Clinical trials |
ISBN | : 9781032252896 |
Download Modelling Survival Data in Medical Research Book in PDF, ePub and Kindle
"Fourth edition has new chapters on Bayesian survival analysis and use of the R software. Chapters extensively revised, expanded to add new material on topics that include methods for assessing predictive ability of a model, joint models for longitudinal and survival data, modern methods for the analysis of interval-censored survival data"--
Author | : David Collett |
Publisher | : Chapman and Hall/CRC |
Total Pages | : 548 |
Release | : 2014-12-11 |
Genre | : Mathematics |
ISBN | : 9781439856789 |
Download Modelling Survival Data in Medical Research, Third Edition Book in PDF, ePub and Kindle
Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range of examples from biomedical research. Well known for its nontechnical style, this third edition contains new chapters on frailty models and their applications, competing risks, non-proportional hazards, and dependent censoring. It also describes techniques for modelling the occurrence of multiple events and event history analysis. Earlier chapters are now expanded to include new material on a number of topics, including measures of predictive ability and flexible parametric models. Many new data sets and examples are included to illustrate how these techniques are used in modelling survival data. Bibliographic notes and suggestions for further reading are provided at the end of each chapter. Additional data sets to obtain a fuller appreciation of the methodology, or to be used as student exercises, are provided in the appendix. All data sets used in this book are also available in electronic format online. This book is an invaluable resource for statisticians in the pharmaceutical industry, professionals in medical research institutes, scientists and clinicians who are analyzing their own data, and students taking undergraduate or postgraduate courses in survival analysis.
Author | : David Collett |
Publisher | : CRC Press |
Total Pages | : 413 |
Release | : 2003-03-28 |
Genre | : Mathematics |
ISBN | : 1584883251 |
Download Modelling Survival Data in Medical Research, Second Edition Book in PDF, ePub and Kindle
Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more than ever, it provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis.The treatment begins with an introduction to survival analysis and a description of four studies that lead to survival data. Subsequent chapters then use those data sets and others to illustrate the various analytical techniques applicable to such data, including the Cox regression model, the Weibull proportional hazards model, and others. This edition features a more detailed treatment of topics such as parametric models, accelerated failure time models, and analysis of interval-censored data. The author also focuses the software section on the use of SAS, summarising the methods used by the software to generate its output and examining that output in detail. Profusely illustrated with examples and written in the author's trademark, easy-to-follow style, Modelling Survival Data in Medical Research, Second Edition is a thorough, practical guide to survival analysis that reflects current statistical practices.
Author | : David Collett |
Publisher | : |
Total Pages | : 368 |
Release | : 1993 |
Genre | : Clinical trials |
ISBN | : 9780429258374 |
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Data collected on the time to an event-such as the death of a patient in a medical study-is known as survival data. The methods for analyzing survival data can also be used to analyze data on the time to events such as the recurrence of a disease or relief from symptoms. Modelling Survival Data in Medical Research begins with an introduction to survival analysis and a description of four studies in which survival data was obtained. These and other data sets are then used to illustrate the techniques presented in the following chapters, including the Cox and Weibull proportional hazards models; accelerated failure time models; models with time-dependent variables; interval-censored survival data; model checking; and use of statistical packages. Designed for statisticians in the pharmaceutical industry and medical research institutes, and for numerate scientists and clinicians analyzing their own data sets, this book also meets the need for an intermediate text which emphasizes the application of the methodology to survival data arising from medical studies.
Author | : Terry M. Therneau |
Publisher | : Springer Science & Business Media |
Total Pages | : 356 |
Release | : 2013-11-11 |
Genre | : Mathematics |
ISBN | : 1475732945 |
Download Modeling Survival Data: Extending the Cox Model Book in PDF, ePub and Kindle
This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.
Author | : D. Collett |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : MEDICAL |
ISBN | : 9781003282525 |
Download Modelling Survival Data in Medical Research Book in PDF, ePub and Kindle
"Fourth edition has new chapters on Bayesian survival analysis and use of the R software. Chapters extensively revised, expanded to add new material on topics that include methods for assessing predictive ability of a model, joint models for longitudinal and survival data, modern methods for the analysis of interval-censored survival data"--
Author | : David G. Kleinbaum |
Publisher | : Springer Science & Business Media |
Total Pages | : 332 |
Release | : 2013-04-18 |
Genre | : Medical |
ISBN | : 1475725558 |
Download Survival Analysis Book in PDF, ePub and Kindle
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 | : Elisa T. Lee |
Publisher | : John Wiley & Sons |
Total Pages | : 389 |
Release | : 2013-09-23 |
Genre | : Mathematics |
ISBN | : 1118593057 |
Download Statistical Methods for Survival Data Analysis Book in PDF, ePub and Kindle
Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.
Author | : David Collett |
Publisher | : |
Total Pages | : |
Release | : 2003 |
Genre | : |
ISBN | : |
Download Modelling Survival Data in Medical Research, Second Edition Book in PDF, ePub and Kindle