Package: surrosurv 1.1.26

Dan Chaltiel

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:Federico Rotolo [aut], Xavier Paoletti [ctb], Marc Buyse [ctb], Tomasz Burzykowski [ctb], Stefan Michiels [ctb], Dan Chaltiel [cre]

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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'))

Peer review:

Bug tracker:https://github.com/oncostat/surrosurv/issues

Datasets:
  • gastadj - Individual data from the adjuvant GASTRIC meta-analysis
  • gastadv - Individual data from the advanced GASTRIC meta-analysis

On CRAN:

3.70 score 1 stars 8 scripts 248 downloads 1 mentions 11 exports 45 dependencies

Last updated 2 years agofrom:0fac54249f. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winNOTEOct 13 2024
R-4.5-linuxNOTEOct 13 2024
R-4.4-winOKOct 13 2024
R-4.4-macOKOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports:convalsconvergenceloocvplotssonpoissonizesimData.ccsimData.ghsimData.mxsimData.restesurrosurv

Dependencies:ADGofTestbootclicolorspacecopulaehaexpmfansigenericsgluegsllatticelifecyclelme4magrittrMASSMatrixMatrixModelsminqamixmetamnormtmsmmvmetamvtnormnlmenloptrnumDerivoptimxparfmpcaPPpillarpkgconfigpracmapsplinequantregRcppRcppEigenrlangsnSparseMstabledistsurvivaltibbleutf8vctrs

Validation of time-to-event surrogate endpoints using the surrosurv package

Rendered fromsurrosurv.pdf.asisusingR.rsp::asison Oct 13 2024.

Last update: 2022-07-07
Started: 2017-06-06