Here's my SAS code:
ods trace on;
ods graphics on/imagemap=on;
/* ods output/classlevels corrB covB modelinfo nobs fitstatistics FitStatisticsUL ConvergenceStatus
Type3Analysis ParameterEstimates ProbPlot; */
proc lifereg data=health.E_Ltestvar1_10_70_firms plots=probplot
outest=health.estimates covout;
a: model wks_surv*censoring(0)=ln_AGE complex mmso preneg prepack RSA clntbase
DIP mgtresign fraud / distribution=weibull alpha=0.05 corrb covb;
output out=health.residuals sres=s_residuals;
output out=health.xbeta Xbeta=xbeta;
output out=health.new cdf=probe;
probplot ppout ppos=mkm npintervals=simul;
inset nobs="Sample Size" left="Number of left-censored observations"
right="number of right-censored observations"
interval="Number of interval-censored observations"
nmiss="Number of observations with missing values" dist="Distribution" shape
confidence="Confidence coefficient for all confidence intervals";
probplot ppos=km npintervals=point;
inset;
run;
ods trace off;
ods graphics off;
Here are my SAS datasets. I'm having trouble figuring out how to write the code. I want to take the parameter estimates from the SAS code above and compute the predicted values for the observations (3) in the outsample.sas7bdat file. Then, I want to compare the predicted values to the actual values. The actual values are in the outsample.sas7bdat file and the variable name is wks_surv. How do I do this? Any help is appreciated.
