Displaying 3 results from an estimated 3 matches for "fac8".
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fac
2012 Nov 29
5
bootstrapped cox regression (rms package)
...at least generates confidence intervals similar to what is
observed in SPSS. However, the p-values associated with each predictor in
the model are not really close in many instances.
Here is the code I am using:
formula=Surv(months, recidivate) ~ fac1 + fac2 + fac3 + fac4 + fac5 + fac6
+ fac7 + fac8
fit=cph(formula, data=temp, x=T, y=T)
validate(fit, method="boot", B=9999, bw=F, type="residual", sls=0.05,
aics=0,force=NULL, estimates=TRUE, pr=FALSE)
out=bootcov(fit, B=9999, pr=F, coef.reps=T, loglik=F)
for (i in 1:8) {
print(quantile(out$boot.Coef[,i], c(.025, .975)))
}
ano...
2012 Nov 29
0
bootstrapped cox regression in rms package (non html!)
...at least generates confidence intervals similar
to what is observed in SPSS. However, the p-values associated with
each predictor in the model are not really close in many instances.
Here is the code I am using:
formula=Surv(months, recidivate) ~ fac1 + fac2 + fac3 + fac4 + fac5 +
fac6 + fac7 + fac8
fit=cph(formula, data=temp, x=T, y=T)
validate(fit, method="boot", B=9999, bw=F, type="residual", sls=0.05,
aics=0,force=NULL, estimates=TRUE, pr=FALSE)
out=bootcov(fit, B=9999, pr=F, coef.reps=T, loglik=F)
for (i in 1:8) {
print(quantile(out$boot.Coef[,i], c(.025, .975)))
}
ano...
2008 Nov 13
2
decoded sample is completely differen from original one
Hi all,
I have just started playing with speex, and come up with the following code, which just encode a frame of 160 shorts, and the decode it.
For some reason the decoded sample is completely different than the original one. is my code wrong? If so what? Or is it a reasonable which depends of values that weren't correctly set?
Thanks,
Andre
#include <stdio.h>
#include