Package: surrosurv 1.1.26
surrosurv: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses
Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <doi:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo et al, 2017 <doi:10.1177/0962280217718582>).
Authors:
surrosurv_1.1.26.tar.gz
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surrosurv_1.1.26.tgz(r-4.4-any)surrosurv_1.1.26.tgz(r-4.3-any)
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surrosurv.pdf |surrosurv.html✨
surrosurv/json (API)
NEWS
# Install 'surrosurv' in R: |
install.packages('surrosurv', repos = c('https://oncostat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/oncostat/surrosurv/issues
Last updated 2 years agofrom:0fac54249f. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | NOTE | Nov 12 2024 |
R-4.5-linux | NOTE | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:convalsconvergenceloocvplotssonpoissonizesimData.ccsimData.ghsimData.mxsimData.restesurrosurv
Dependencies:ADGofTestbootclicolorspacecopulaehaexpmfansigenericsgluegsllatticelifecyclelme4magrittrMASSMatrixMatrixModelsminqamixmetamnormtmsmmvmetamvtnormnlmenloptrnumDerivoptimxparfmpcaPPpillarpkgconfigpracmapsplinequantregRcppRcppEigenrlangsnSparseMstabledistsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses | surrosurv-package |
Assesses the convergence of fitted models for surrogacy evaluation | convals convals.surrosurv convergence convergence.surrosurv |
Individual data from the adjuvant GASTRIC meta-analysis | gastadj |
Individual data from the advanced GASTRIC meta-analysis | gastadv |
Leave-one-trial-out cross-validation for treatment effect prediction | loocv loocv.surrosurv plot.loocvSurrosurv print.loocvSurrosurv |
Transform survival data for fitting a Poisson model | plotsson poissonize |
Generate survival times for two endpoints in a meta-analysis of randomized trials | simData.cc simData.gh simData.mx simData.re |
Surrogate threshold effect | print.steSurrosurv ste |
Fit and print the models for evaluating the surrogacy strength of a candidate surrogate endpoint | plot.predictSurrosurv plot.surrosurv predict.surrosurv print.predictSurrosurv print.surrosurv surrosurv |