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Empirical Likelihood Method in Survival Analysis
Empirical Likelihood Method in Survival Analysis
Knygos.lt klubas Knygos.lt nariams
218,11 €
-30%
Įprastai
311,59 €
  • Planuojame turėti už 101 d.
This book systematically covers empirical likelihood methods in most important topics in survival analysis: the Kaplan-Meier and the Nelson-Aalen estimator, the log rank test, the Cox proportional hazards model and the accelerated failure time models. In addition, it also covers an extension of the Cox model-the short term/long term hazard ratio model of Yang and Prentice. Finally, empirical likelihood methods with current status data or type I interval censored data are investigated: estimatio…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 384
  • ISBN-10: 1032986352
  • ISBN-13: 9781032986357
  • Formatas: 15.6 x 23.4 x cm, kieti viršeliai
  • Kalba: Anglų

Empirical Likelihood Method in Survival Analysis (el. knyga) (skaityta knyga) | knygos.lt

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This book systematically covers empirical likelihood methods in most important topics in survival analysis: the Kaplan-Meier and the Nelson-Aalen estimator, the log rank test, the Cox proportional hazards model and the accelerated failure time models. In addition, it also covers an extension of the Cox model-the short term/long term hazard ratio model of Yang and Prentice. Finally, empirical likelihood methods with current status data or type I interval censored data are investigated: estimation/test for the mean/hazard/probability and regression models are discussed.

The author of this book is also the author of several R packages for empirical likelihood calculations with survival data. Every topic discussed gets immediately put into action with R code in examples that users can replicate and experiment with.

  • Includes more than 70 examples illustrating the use of empirical likelihood, many with real data.
  • Provides complete R computational codes that reader can replicate the results in the book.
  • Includes over 80 exercise problems making it suitable to be adopted as a textbook.
  • Newly added materials now cover more general types of censored survival data.

Mai Zhou is a professor emeritus at University of Kentucky. He received his Ph.D. degree in Statistics from Columbia University.

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  • Autorius: Mai Zhou
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 384
  • ISBN-10: 1032986352
  • ISBN-13: 9781032986357
  • Formatas: 15.6 x 23.4 x cm, kieti viršeliai
  • Kalba: Anglų

This book systematically covers empirical likelihood methods in most important topics in survival analysis: the Kaplan-Meier and the Nelson-Aalen estimator, the log rank test, the Cox proportional hazards model and the accelerated failure time models. In addition, it also covers an extension of the Cox model-the short term/long term hazard ratio model of Yang and Prentice. Finally, empirical likelihood methods with current status data or type I interval censored data are investigated: estimation/test for the mean/hazard/probability and regression models are discussed.

The author of this book is also the author of several R packages for empirical likelihood calculations with survival data. Every topic discussed gets immediately put into action with R code in examples that users can replicate and experiment with.

  • Includes more than 70 examples illustrating the use of empirical likelihood, many with real data.
  • Provides complete R computational codes that reader can replicate the results in the book.
  • Includes over 80 exercise problems making it suitable to be adopted as a textbook.
  • Newly added materials now cover more general types of censored survival data.

Mai Zhou is a professor emeritus at University of Kentucky. He received his Ph.D. degree in Statistics from Columbia University.

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