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...better way(PHREG,CASECOH.SAS) to implement time-dependent 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(coe...

----- 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

...this pass entirely. This could also be an interesting performance problem as -polly-codegen-scev produces a lot cleaner LLVM-IR at code generation time, which may take more time to generate but it may also require less time to be cleaned up. This could also be interesting to investigate. > StageII -- Remove or rewrite expensive analysis passes for compiling > performance. [Week 3-5] > > There are many optimization libraries for Polly, such as ScopLib, Pluto, > ISL and Jason optimization. To balance the tradeoff between code JSON > performance and compiling overhead,...

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: