SAS/STAT 9.22 User's Guide:: The PHREG Procedure

✍ Scribed by SAS Publishing

• Publisher: SAS Publishing
• Year: 2010
• Tongue: English
• Leaves: 235
• Series: Book Excerpt
• Category: Library

✦ Synopsis

The PHREG procedure performs regression analysis of survival data based on the Cox proportional hazards model and its extensions.

✦ Table of Contents

The PHREG Procedure......Page 4
Overview: PHREG Procedure......Page 5
Getting Started: PHREG Procedure......Page 8
Classical Method of Maximum Likelihood......Page 9
Bayesian Analysis......Page 12
Syntax: PHREG Procedure......Page 17
PROC PHREG Statement......Page 18
ASSESS Statement......Page 22
BASELINE Statement......Page 23
BAYES Statement......Page 27
CLASS Statement......Page 39
CONTRAST Statement......Page 42
EFFECT Statement (Experimental)......Page 46
ESTIMATE Statement......Page 47
FREQ Statement......Page 48
HAZARDRATIO Statement......Page 49
LSMEANS Statement......Page 51
LSMESTIMATE Statement......Page 52
MODEL Statement......Page 53
OUTPUT Statement......Page 63
Programming Statements......Page 65
STRATA Statement......Page 66
STORE Statement......Page 67
TEST Statement......Page 68
Failure Time Distribution......Page 69
Clarification of the Time and CLASS Variables Usage......Page 70
Partial Likelihood Function for the Cox Model......Page 75
Counting Process Style of Input......Page 76
The Multiplicative Hazards Model......Page 78
Hazard Ratios......Page 79
Specifics for Classical Analysis......Page 82
Specifics for Bayesian Analysis......Page 109
Computational Resources......Page 120
Input and Output Data Sets......Page 121
Displayed Output......Page 122
ODS Table Names......Page 132
ODS Graphics......Page 134
Examples: PHREG Procedure......Page 135
Example 64.1: Stepwise Regression......Page 136
Example 64.2: Best Subset Selection......Page 143
Example 64.3: Modeling with Categorical Predictors......Page 144
Example 64.4: Firth's Correction for Monotone Likelihood......Page 153
Example 64.5: Conditional Logistic Regression for m:n Matching......Page 155
Example 64.6: Model Using Time-Dependent Explanatory Variables......Page 159
Example 64.7: Time-Dependent Repeated Measurements of a Covariate......Page 166
Example 64.8: Survivor Function Estimates for Specific Covariate Values......Page 172
Example 64.9: Analysis of Residuals......Page 175
Example 64.10: Analysis of Recurrent Events Data......Page 177
Example 64.11: Analysis of Clustered Data......Page 187
Example 64.12: Model Assessment Using Cumulative Sums of Martingale Residuals......Page 190
Example 64.13: Bayesian Analysis of the Cox Model......Page 202
Example 64.14: Bayesian Analysis of Piecewise Exponential Model......Page 213
References......Page 217
Subject Index......Page 222
Syntax Index......Page 228

✦ Subjects

Библиотека;Компьютерная литература;SAS / JMP;