Hi Frank,
Below is the actual output from the anova(out) command. I had copied in
the p-values and from the previous output from anova(out) and the
confidence intervals from print(quantile(out$boot.Coef[,i], c(.025,
.975))) to illustrate that the confidence intervals were similar to SPSS
while the p-values were not.
Actual output from anova.rms(out):
Wald Statistics Response: Surv(months, recidivate)
Factor Chi-Square d.f. P
fac1 0.27 1 0.6055
fac2 0.20 1 0.6514
fac3 0.01 1 0.9338
fac4 0.05 1 0.8311
fac5 1.06 1 0.3036
fac6 0.33 1 0.5647
fac7 0.81 1 0.3670
fac8 0.30 1 0.5832
TOTAL 1.48 8 0.9930
Regarding your second question, it looks like SPSS is using the original
estimate of Cox beta coefficients in the test (i.e. a new point estimate
is not generated for the statistical test)
Thanks again,
Eric