"Survival Analysis with Interval-Censored Data" - Information and Links:

Survival Analysis with Interval-Censored Data

A Practical Approach with Examples in R, SAS, and BUGS

"Survival Analysis with Interval-Censored Data" is published by Taylor & Francis Group in 2017 - Boca Raton, it has 1 pages and the language of the book is English.


“Survival Analysis with Interval-Censored Data” Metadata:

  • Title: ➤  Survival Analysis with Interval-Censored Data
  • Authors:
  • Language: English
  • Number of Pages: 1
  • Publisher: Taylor & Francis Group
  • Publish Date:
  • Publish Location: Boca Raton

“Survival Analysis with Interval-Censored Data” Subjects and Themes:

Edition Specifications:

  • Weight: 1.023
  • Pagination: 584

Edition Identifiers:

AI-generated Review of “Survival Analysis with Interval-Censored Data”:


"Survival Analysis with Interval-Censored Data" Description:

Open Data:

Cover -- Half Title -- Published titles -- Title -- Copyright -- Contents -- List of Tables -- List of Figures -- Notation -- Preface -- Part I Introduction -- Chapter 1 Introduction -- 1.1 Survival concepts -- 1.2 Types of censoring -- 1.2.1 Right censoring -- 1.2.2 Interval and left censoring -- 1.2.3 Some special cases of interval censoring -- 1.2.4 Doubly interval censoring -- 1.2.5 Truncation -- 1.3 Ignoring interval censoring -- 1.4 Independent noninformative censoring -- 1.4.1 Independent noninformative right censoring -- 1.4.2 Independent noninformative interval censoring -- 1.5 Frequentist inference -- 1.5.1 Likelihood for interval-censored data -- 1.5.2 Maximum likelihood theory -- 1.6 Data sets and research questions -- 1.6.1 Homograft study -- 1.6.2 Breast cancer study -- 1.6.3 AIDS clinical trial -- 1.6.4 Sensory shelf life study -- 1.6.5 Survey on mobile phone purchases -- 1.6.6 Mastitis study -- 1.6.7 Signal Tandmobiel study -- 1.7 Censored data in R and SAS -- 1.7.1 R -- 1.7.2 SAS -- Chapter 2 Inference for right-censored data -- 2.1 Estimation of the survival function -- 2.1.1 Nonparametric maximum likelihood estimation -- 2.1.2 R solution -- 2.1.3 SAS solution -- 2.2 Comparison of two survival distributions -- 2.2.1 Review of signi cance tests -- 2.2.2 R solution -- 2.2.3 SAS solution -- 2.3 Regression models -- 2.3.1 Proportional hazards model -- 2.3.1.1 Model description and estimation -- 2.3.1.2 Model checking -- 2.3.1.3 R solution -- 2.3.1.4 SAS solution -- 2.3.2 Accelerated failure time model -- 2.3.2.1 Model description and estimation -- 2.3.2.2 Model checking -- 2.3.2.3 R solution -- 2.3.2.4 SAS solution -- Part II Frequentist methods for interval-censored data -- Chapter 3 Estimating the survival distribution -- 3.1 Nonparametric maximum likelihood -- 3.1.1 Estimation -- 3.1.2 Asymptotic results -- 3.1.3 R solution

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