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The PHREG Procedure
Overview
Getting Started
Classical Method of Maximum Likelihood
Bayesian Analysis
Syntax
PROC PHREG Statement
ASSESS Statement
BASELINE Statement
BAYES Statement
BY Statement
CLASS Statement
CONTRAST Statement
EFFECT Statement
ESTIMATE Statement
FREQ Statement
HAZARDRATIO Statement
ID Statement
LSMEANS Statement
LSMESTIMATE Statement
MODEL Statement
OUTPUT Statement
Programming Statements
RANDOM Statement
STRATA Statement
SLICE Statement
STORE Statement
TEST Statement
WEIGHT Statement
Details
Failure Time Distribution
Time and CLASS Variables Usage
Partial Likelihood Function for the Cox Model
Counting Process Style of Input
Left-Truncation of Failure Times
The Multiplicative Hazards Model
The Frailty Model
Hazard Ratios
Proportional Rates/Means Models for Recurrent Events
Newton-Raphson Method
Firth’s Modification for Maximum Likelihood Estimation
Robust Sandwich Variance Estimate
Testing the Global Null Hypothesis
Type 3 Tests
Confidence Limits for a Hazard Ratio
Using the TEST Statement to Test Linear Hypotheses
Analysis of Multivariate Failure Time Data
Model Fit Statistics
Residuals
Diagnostics Based on Weighted Residuals
Influence of Observations on Overall Fit of the Model
Survivor Function Estimators
Effect Selection Methods
Assessment of the Proportional Hazards Model
The Penalized Partial Likelihood Approach for Fitting Frailty Models
Specifics for Bayesian Analysis
Computational Resources
Input and Output Data Sets
Displayed Output
ODS Table Names
ODS Graphics
Examples
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
Survival Curves
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
References
Details: PHREG Procedure
Failure Time Distribution
Time and CLASS Variables Usage
Partial Likelihood Function for the Cox Model
Counting Process Style of Input
Left-Truncation of Failure Times
The Multiplicative Hazards Model
The Frailty Model
Hazard Ratios
Proportional Rates/Means Models for Recurrent Events
Newton-Raphson Method
Firth’s Modification for Maximum Likelihood Estimation
Robust Sandwich Variance Estimate
Testing the Global Null Hypothesis
Type 3 Tests
Confidence Limits for a Hazard Ratio
Using the TEST Statement to Test Linear Hypotheses
Analysis of Multivariate Failure Time Data
Model Fit Statistics
Residuals
Diagnostics Based on Weighted Residuals
Influence of Observations on Overall Fit of the Model
Survivor Function Estimators
Effect Selection Methods
Assessment of the Proportional Hazards Model
The Penalized Partial Likelihood Approach for Fitting Frailty Models
Specifics for Bayesian Analysis
Computational Resources
Input and Output Data Sets
Displayed Output
ODS Table Names
ODS Graphics
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