This is an applied handbook on survival analysis (also known as reliability or duration analysis) with annotated examples using S-Plus or R. This is the first book ever explaining survival analysis by example and is intended for users at all levels. The examples can easily be replicated using other
Survival Analysis by Example: Hands on approach using R
โ Scribed by Faye Anderson
- Publisher
- UNKNOWN
- Year
- 2016
- Tongue
- English
- Leaves
- 42
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This is an applied handbook on survival analysis (also known as reliability or duration analysis) with annotated examples using S-Plus or R. This is the first book ever explaining survival analysis by example and is intended for users at all levels. The examples can easily be replicated using other software. Key topics include exploratory analyses, parametric, non-parametric and semi-parametric models, and model selection.
โฆ Table of Contents
Preface
Chapter 1: Survival Analysis Terminology
Example 1: Censored Observations
Why not use regression?
Parametric, Non-parametric and Semi-parametric Survival Analysis
Example 2: Exploratory Analyses
Chapter 2: Parametric Survival Analysis
Example 3: Fitting a Parametric Model
Chapter 3: Non-parametric Survival Analysis
Example 4: Fitting a Non-parametric Model
Example 5: Another Non-parametric Model
Example 6: Test Survival Curve Differences
Example 7: Significant Log-rank Test
Example 8: Survival by Group
Chapter 4: Semi-parametric Approach
Example 9: Cox Proportional Hazard Model
Example 10: Stratified Cox Model
Chapter 5: Model Assessment
Example 11: AIC
Example 12: ANOVA
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