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| The PHREG Procedure |
Examples: PHREG Procedure
This section contains 14 examples of PROC PHREG applications. The first 12 examples use the classical method of maximum likelihood, while the last two examples illustrate the Bayesian methodology.
- Stepwise Regression
- Best Subset Selection
- Modeling with Categorical Predictors
- Firth’s Correction for Monotone Likelihood
- Conditional Logistic Regression for m:n Matching
- Model Using Time-Dependent Explanatory Variables
- Time-Dependent Repeated Measurements of a Covariate
- Survivor Function Estimates for Specific Covariate Values
- Analysis of Residuals
- Analysis of Recurrent Events Data
- Analysis of Clustered Data
- Model Assessment Using Cumulative Sums of Martingale Residuals
- Bayesian Analysis of the Cox Model
- Bayesian Analysis of Piecewise Exponential Model
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