Description Usage Arguments Value Author(s) References Examples
The function loocv()
computed leave-one-out predcition of the treatment
effect on the true endpoint for each trial,
based on the observed effect on the surrogate endpoint in the trial itself
and based on the meta-analytic model fitted on the remaining trials
(Michiels et al, 2009).
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object |
Either an object of class
|
nCores |
The number of cores for parallel computing |
parallel |
Should results be computed using parallelization? |
models, exact.models |
Which models should be fitted (see |
x |
The fitted models, an object of class |
n |
the number of rows to print |
silent |
Should the results be return for storing without printing them? |
... |
Further parameters to be passed to |
An object of class loocvSurrosurv
containing, for each trial:
margPars |
the observed treatment effects
on the surrogate ednpoint ( |
... |
for each method in |
Federico Rotolo [aut, cre], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr]
Michiels S, Le Maitre A, Buyse M, et al. Surrogate endpoints for overall survival in locally advanced head and neck cancer: meta-analyses of individual patient data. Lancet Oncol. 2009;10(4):341-50. doi:10.1016/S1470-2045(09)70023-3
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