10.04.2013 Views

8 Modeling Survival Data with Categorical ... - NCSU Statistics

8 Modeling Survival Data with Categorical ... - NCSU Statistics

8 Modeling Survival Data with Categorical ... - NCSU Statistics

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

CHAPTER 8 ST 745, Daowen Zhang<br />

Dependent Variable days (censored) survival time in days<br />

Censoring Variable cens censoring indicator<br />

Censoring Value(s) 0<br />

Ties Handling BRESLOW<br />

Summary of the Number of Event and Censored Values<br />

Percent<br />

Total Event Censored Censored<br />

723 391 332 45.92<br />

Convergence Status<br />

Convergence criterion (GCONV=1E-8) satisfied.<br />

Model Fit <strong>Statistics</strong><br />

Without With<br />

Criterion Covariates Covariates<br />

-2 LOG L 4833.945 4732.068<br />

AIC 4833.945 4740.068<br />

SBC 4833.945 4755.943<br />

Testing Global Null Hypothesis: BETA=0<br />

Test Chi-Square DF Pr > ChiSq<br />

Likelihood Ratio 101.8775 4

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!