Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
- Multivariate Analysis
- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The PHREG Procedure
- performs regression analysis of survival data based on the Cox proportional hazards model
- fits a superset of the Cox model, known as the multiplicative hazards model or the Anderson-Gill model
- fits frailty models
- performs stratified analysis
- includes four methods for handling ties in the failure times
- provides four methods of variable selection
- permits an offset in the model
- perform weighted estimation
- use SAS programming statements within the procedure to modify values of the explanatory variables or to create ne explanatory variables
- test linear hypotheses about the regression parameters
- estimate customized hazard ratios
- performs graphical and numerical assessment of the adequacy of the Cox regression model
- creates a new SAS data set that contains the baseline function estimates at the event times of each stratum for every specified set of covariates
- output survivor function estimates, residuals, and regression diagnostics
- perform conditional logistic regression analysis for matched case-control studies
- fit multinomial logit choice models for discrete choice data
- obtain separate analyses on observations in groups
- perform sampling-based Bayesian analysis
- creates an output data set containing parameter and covariance estimates
- creates an output data set containing user-specified statistics
- uses ODS to create a SAS data set corresponding to any table
- supports ODS Graphics
For further details see the SAS/STAT User's Guide:
The PHREG Procedure
( PDF | HTML )
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
- 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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