Cover of: Survival models and data analysis | Regina C. Elandt-Johnson Read Online
Share

Survival models and data analysis

  • 565 Want to read
  • ·
  • 89 Currently reading

Published by Wiley in New York .
Written in English

Subjects:

  • Survival analysis (Biometry),
  • Failure time data analysis.,
  • Mortality -- Statistical methods.,
  • Medical statistics.

Book details:

Edition Notes

Includes bibliographies and index.

StatementRegina C. Elandt-Johnson, Norman L. Johnson.
SeriesWiley series in probability and mathematical statistics
ContributionsJohnson, Norman Lloyd, joint author.
Classifications
LC ClassificationsQA276 .E39
The Physical Object
Paginationxvi, 457 p. :
Number of Pages457
ID Numbers
Open LibraryOL4418667M
ISBN 100471031747
LC Control Number79022836

Download Survival models and data analysis

PDF EPUB FB2 MOBI RTF

This book, originally published in , surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival .   Survival Models and Data Analysis (Wiley Series in Probability and Statistics Book ) - Kindle edition by Elandt-Johnson, Regina C., Johnson, Norman L.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Survival Models and Data Analysis (Wiley Series in Probability and Statistics Book 5/5(1). Survival Models and Data Analysis Regina C. Elandt-Johnson, Norman L. Johnson Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or .   Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories .

ISBN: OCLC Number: Description: xvi, pages: Contents: Survival measurements and concepts --Survival data --Measures of mortality and , proportions, and means --Survival distributions --Mortality experiences and life tables --Life tables: fundamentals and constructions --Complete mortality data.. Estimation of survival . This book serves as an excellent introduction to survival and event history analysis methods. Its mathematical level is moderate. Aalen did pioneering work in his PhD thesis on using the theory of counting processes to derive results for the statistical properties of many survival analysis methods, and this book . 26Joint Models of Longitudinal and Survival Data WenYeandMenggangYu 27Familial Studies KarenBandeen-Roche VI Clinical Trials also has published two advanced graduate-level books on Bayesian survival analysis .   "The book is well written and provides explicit details of the models and methods used." (Journal of the American Statistical Association, June ) " contains thorough descriptions and illustrations of several useful nonparametric and parametric statistical methods to analyze survival data.".

the fit of those models. Data illustrations will highlight the comparison and modelling of cancer survival data taken from the National Cancer Institute’s SEER 9 database (), with scripts in R. Outline: (O) Data-Structure for (Right-) Censored Survival Data Lexis diagrams; data analysis objectives. SEER data . Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in , surveys and analyzes methods that use survival 3/5(1). COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated . Survival Analysis † Survival Data Characteristics survival. Data: Age number deaths in prob. survive survive 5 years 5 years to age 0 40 5 15 10 10 .