Book description
Longitudinal studies often investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest. An example is prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. This book provides a full treatment of joint models for longitudinal and time-to-event data. The content is explanatory rather than mathematically rigorous and emphasizes applications. All illustrations put forward are available in the R programming language via the freely available package JM written by the author.
Table of contents
- Front Cover (1/2)
- Front Cover (2/2)
- Dedication (1/2)
- Dedication (2/2)
- Contents
- Preface (1/2)
- Preface (2/2)
- 1. Introduction (1/3)
- 1. Introduction (2/3)
- 1. Introduction (3/3)
- 2. Longitudinal Data Analysis (1/4)
- 2. Longitudinal Data Analysis (2/4)
- 2. Longitudinal Data Analysis (3/4)
- 2. Longitudinal Data Analysis (4/4)
- 3. Analysis of Event Time Data (1/4)
- 3. Analysis of Event Time Data (2/4)
- 3. Analysis of Event Time Data (3/4)
- 3. Analysis of Event Time Data (4/4)
- 4. Joint Models for Longitudinal and Time-to-Event Data (1/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (2/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (3/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (4/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (5/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (6/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (7/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (8/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (9/10)
- 4. Joint Models for Longitudinal and Time-to-Event Data (10/10)
- 5. Extensions of the Standard Joint Model (1/10)
- 5. Extensions of the Standard Joint Model (2/10)
- 5. Extensions of the Standard Joint Model (3/10)
- 5. Extensions of the Standard Joint Model (4/10)
- 5. Extensions of the Standard Joint Model (5/10)
- 5. Extensions of the Standard Joint Model (6/10)
- 5. Extensions of the Standard Joint Model (7/10)
- 5. Extensions of the Standard Joint Model (8/10)
- 5. Extensions of the Standard Joint Model (9/10)
- 5. Extensions of the Standard Joint Model (10/10)
- 6. Joint Model Diagnostics (1/6)
- 6. Joint Model Diagnostics (2/6)
- 6. Joint Model Diagnostics (3/6)
- 6. Joint Model Diagnostics (4/6)
- 6. Joint Model Diagnostics (5/6)
- 6. Joint Model Diagnostics (6/6)
- 7. Prediction and Accuracy in Joint Models (1/10)
- 7. Prediction and Accuracy in Joint Models (2/10)
- 7. Prediction and Accuracy in Joint Models (3/10)
- 7. Prediction and Accuracy in Joint Models (4/10)
- 7. Prediction and Accuracy in Joint Models (5/10)
- 7. Prediction and Accuracy in Joint Models (6/10)
- 7. Prediction and Accuracy in Joint Models (7/10)
- 7. Prediction and Accuracy in Joint Models (8/10)
- 7. Prediction and Accuracy in Joint Models (9/10)
- 7. Prediction and Accuracy in Joint Models (10/10)
- A. A Brief Introduction to R (1/2)
- A. A Brief Introduction to R (2/2)
- B. The EM Algorithm for Joint Models (1/2)
- B. The EM Algorithm for Joint Models (2/2)
- C. Structure of the JM Package
- References (1/4)
- References (2/4)
- References (3/4)
- References (4/4)
Product information
- Title: Joint Models for Longitudinal and Time-to-Event Data
- Author(s):
- Release date: June 2012
- Publisher(s): CRC Press
- ISBN: 9781439872871
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