search for: stageiii

...case-cohort? > summary(fit2.ccP) Call: coxph(formula = Surv(edrel, rel) ~ stage + histol + age + offset(-100 * (1 - subcohort)) + cluster(seqno), data = ccoh.data) n= 1154 coef exp(coef) se(coef) robust se z p stageII 0.7363 2.09 0.1213 0.1699 4.33 1.5e-05 stageIII 0.5976 1.82 0.1233 0.1753 3.41 6.5e-04 stageIV 1.3921 4.02 0.1339 0.2081 6.69 2.2e-11 histolUH 1.5059 4.51 0.0911 0.1644 9.16 0.0e+00 age 0.0432 1.04 0.0146 0.0243 1.78 7.6e-02 exp(coef) exp(-coef) lower .95 upper .95 stageII 2.09 0...

----- begin included message In case cohort study, we can fit proportional hazard regression model to case-cohort data. In R, the function is cch() in Survival package Now I am working on case cohort analysis with time dependent covariates using cch() of "Survival" R package. I wonder if cch() provide this utility or not? The cch() manual does not say if time dependent covariate is

...copLib). For example, ISL optimization provides many > optimization passes, such as dependence simplify, schedule optimization, > and various loop transformation. Week 5: remove some expensive > optimization passes and rewrite some critical but expensive optimization > passes. > StageIII -- Improve code generation passes for compiling performance. > [Week 6-9] > > Our evalutions show that polly code generation passes are very > expensive, especially for some benchmarks like ludcmp.c and adi.c. Polly > code generation passes can increase the compiling time by 500% or...

Hi all, I have updated my GSoS proposal: "FastPolly: Reducing LLVM-Polly Compiling overhead" (https://gist.github.com/tanstar/5441808). I think the pass ordering problem you discussed early can be also investigated in this project! Is there any comment or advice about my proposal? I appreciate all your help and advice. Thanks, Star Tan Proposal: