Applied Survival Analysis Using R
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 bi...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
Σειρά: | Use R!,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Basic Principles of Survival Analysis
- Nonparametric Survival Curve Estimation
- Nonparametric Comparison of Survival Distributions
- Regression Analysis Using the Proportional Hazards Model
- Model Selection and Interpretation
- Model Diagnostics
- Time Dependent Covariates
- Multiple Survival Outcomes and Competing Risks
- Parametric Models
- Sample Size Determination for Survival Studies
- Additional Topics
- References
- Appendix A
- Index
- R Package Index.