(eBook PDF) Applied Survival Analysis Using R (Use R!) 1st ed. 2016 Edition – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 331931243X
- ISBN-13 : 978-3319312439
- Author: Dirk F. Moore (Author)
Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis.
Table contents:
1 Introduction
2 Basic Principles of Survival Analysis
3 Nonparametric Survival Curve Estimation
4 Nonparametric Comparison of Survival Distributions
5 Regression Analysis Using the Proportional Hazards Model
6 Model Selection and Interpretation
7 Model Diagnostics
8 Time Dependent Covariates
9 Multiple Survival Outcomes and Competing Risks
10 Parametric Models
11 Sample Size Determination for Survival Studies
12 Additional Topics
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