summary.jointSurroPenal | R Documentation |
This function returns the estimate of the coefficient, the hazard ratios (HR) and their
confidence intervals for the fixed treatment effects. Also, an estimate of the
surrogacy evaluation criteria (Kendall's \tau
,
R
2trial and STE)
## S3 method for class 'jointSurroPenal'
summary(object, d = 4, len = 3, nb.gh = 32, ...)
object |
An object inheriting from |
d |
The desired number of digits after the decimal point for parameters. The maximum of 4 digits is required for the estimates. Default of 3 digits is used. |
len |
The desired number of digits after the decimal point for p-value and convergence criteria. Default of 4 digits is used. |
nb.gh |
Number of nodes for the Gaussian-Hermite quadrature. The default is |
... |
other unused arguments. |
For the fixed treatment effects, it also prints HR and its confidence
intervals for each covariate. For the surrogacy evaluation criteria, its prints the estimated
Kendall's \tau
with its 95% Confidence interval obtained by the parametric bootstrap
or Delta-method,
the estimated
R
2trial(R2trial) with standard error and the 95% Confidence interval
obtained by Delta-method (Dowd et al., 2014),
R
2trial(R2.boot) and its 95%
Confidence interval obtained by the parametric bootstrap.
We notice that, using bootstrap,
the standard error of the point estimate is not available. We propose a classification of
R
2trial according to
the suggestion of the Institute of Quality and Efficiency in Health Care
(Prasad et al., 2015).
We also display the surrogate threshold effect (ste
) with the associated hazard risk.
Casimir Ledoux Sofeu casimir.sofeu@u-bordeaux.fr, scl.ledoux@gmail.com and Virginie Rondeau virginie.rondeau@inserm.fr
Dowd BE, Greene WH, Norton EC (2014). "Computation of Standard Errors." Health Services Research, 49(2), 731-750.
Prasad V, Kim C, Burotto M, Vandross A (2015). "The strength of association between surrogate end points and survival in oncology: A systematic review of trial-level meta- alyses." JAMA Internal Medicine, 175(8), 1389-1398.
jointSurroPenal, jointSurroCopPenal, jointSurroTKendall, print.jointSurroPenal
## Not run:
###---Data generation---###
data.sim <-jointSurrSimul(n.obs=400, n.trial = 20,cens.adm=549,
alpha = 1.5, theta = 3.5, gamma = 2.5, zeta = 1,
sigma.s = 0.7, sigma.t = 0.7, cor = 0.8, betas = -1.25,
betat = -1.25, full.data = 0, random.generator = 1,
seed = 0, nb.reject.data = 0)
###---Estimation---###
joint.surrogate <- jointSurroPenal(data = data.sim, nb.mc = 300,
nb.gh = 20, indicator.alpha = 1, n.knots = 6)
summary(joint.surrogate)
## End(Not run)
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