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Survival Analysis, David G. Kleinbaum; Mitchel Klein


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Автор: David G. Kleinbaum; Mitchel Klein
Название:  Survival Analysis
ISBN: 9781493950188
Издательство: Springer
Классификация:

ISBN-10: 1493950185
Обложка/Формат: Paperback
Страницы: 700
Вес: 1.34 кг.
Дата издания: 23.08.2016
Серия: Statistics for Biology and Health
Язык: English
Издание: Softcover reprint of
Иллюстрации: 100 tables, black and white; 500 illustrations, black and white; xv, 700 p. 500 illus.; 100 tables, black and white; 500 illustrations, black and white; xv, 700 p. 500 illus.
Размер: 178 x 288 x 44
Читательская аудитория: General (us: trade)
Основная тема: Statistics
Подзаголовок: A Self-Learning Text, Third Edition
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis. The second edition continues to use the unique lecture-book format of the first (1996) edition with the addition of three new chapters on advanced topics:

Chapter 7: Parametric Models

Chapter 8: Recurrent events

Chapter 9: Competing Risks.

Also, the Computer Appendix has been revised to provide step-by-step instructions for using the computer packages STATA (Version 7.0), SAS (Version 8.2), and SPSS (version 11.5) to carry out the procedures presented in the main text.

The original six chapters have been modified slightly

to expand and clarify aspects of survival analysis in response to suggestions by students, colleagues and reviewers, and

to add theoretical background, particularly regarding the formulation of the (partial) likelihood functions for proportional hazards, stratified, and extended Cox regression models

David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. He is also the author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments including distance learning.

Mitchel Klein is Research Assistant Professor with a joint appointment in the Department of Environmental and Occupational Health (EOH) and the Department of Epidemiology, also at the Rollins School of Public Health at Emory University. Dr. Klein is also co-author with Dr. Kleinbaum of the second edition of Logistic Regression- A Self-Learning Text (2002). He has regularly taught epidemiologic methods courses at Emory to graduate students in public health and in clinical medicine. He is responsible for the epidemiologic methods training of physicians enrolled in Emorys Master of Science in Clinical Research Program, and has collaborated with Dr. Kleinbaum both nationally and internationally in teaching several short courses on various topics in epidemiologic methods.


Дополнительное описание: Introduction to Survival Analysis.- Kaplan-Meier Survival Curves and the Log-Rank Test.- The Cox Proportional Hazards Model and Its Characteristics.- Evaluating the Proportional Hazards Assumption.- The Stratified Cox Procedure.- Extension of the Cox Prop



An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Research design and statistical analysis

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
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Цена: 22202.00 р.
Наличие на складе: Поставка под заказ.

Описание: This interdisciplinary group of scholars-anthropologists, archaeologists, architects, educators, lawyers, heritage administrators, policy analysts, and consultants-make the first attempt to define and assess heritage values on a local, national and global level. Chapters range from the theoretical to policy frameworks to case studies of heritage practice, written by scholars from eight countries.

Survival and Event History Analysis

Автор: Odd Aalen; Ornulf Borgan; Hakon Gjessing
Название: Survival and Event History Analysis
ISBN: 1441919090 ISBN-13(EAN): 9781441919090
Издательство: Springer
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Цена: 20263.00 р.
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Описание: This text bridges the gap between standard models, and those where the dynamic structure of the data manifests itself fully. The common thread is stochastic processes. The authors show how martingales and stochastic integrals fit with censored data.

Dynamic Prediction in Clinical Survival Analysis

Автор: Van Houwelingen
Название: Dynamic Prediction in Clinical Survival Analysis
ISBN: 1439835330 ISBN-13(EAN): 9781439835333
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание:

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models.

Designed to be useful to applied statisticians and clinical epidemiologists, each chapter in the book has a practical focus on the issues of working with real life data. Chapters conclude with additional material either on the interpretation of the models, alternative models, or theoretical background. The book consists of four parts:

  • Part I deals with prognostic models for survival data using (clinical) information available at baseline, based on the Cox model
  • Part II is about prognostic models for survival data using (clinical) information available at baseline, when the proportional hazards assumption of the Cox model is violated
  • Part III is dedicated to the use of time-dependent information in dynamic prediction
  • Part IV explores dynamic prediction models for survival data using genomic data

Dynamic Prediction in Clinical Survival Analysis summarizes cutting-edge research on the dynamic use of predictive models with traditional and new approaches. Aimed at applied statisticians who actively analyze clinical data in collaboration with clinicians, the analyses of the different data sets throughout the book demonstrate how predictive models can be obtained from proper data sets.

Statistical Methods for Survival Data Analysis, 4th Edition

Автор: Lee
Название: Statistical Methods for Survival Data Analysis, 4th Edition
ISBN: 1118095022 ISBN-13(EAN): 9781118095027
Издательство: Wiley
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Цена: 18050.00 р.
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Описание: Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data.


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