The PHREG Procedure
Examples: PHREG Procedure
- 86.1 Stepwise Regression
- 86.2 Best Subset Selection
- 86.3 Modeling with Categorical Predictors
- 86.4 Firth’s Correction for Monotone Likelihood
- 86.5 Conditional Logistic Regression for m:n Matching
- 86.6 Model Using Time-Dependent Explanatory Variables
- 86.7 Time-Dependent Repeated Measurements of a Covariate
- 86.8 Survival Curves
- 86.9 Analysis of Residuals
- 86.10 Analysis of Recurrent Events Data
- 86.11 Analysis of Clustered Data
- 86.12 Model Assessment Using Cumulative Sums of Martingale Residuals
- 86.13 Bayesian Analysis of the Cox Model
- 86.14 Bayesian Analysis of Piecewise Exponential Model
- 86.15 Analysis of Competing-Risks Data
- 86.16 Concordance and ROC Curves
This section contains 16 examples of using PROC PHREG. Example 86.13 and Example 86.14 illustrate Bayesian methodology, and the other examples use the classical method of maximum likelihood.
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