Provides a summary of a fitted competing risks penetrance model.
## S3 method for class 'penmodel_cmp'summary(object, correlation=FALSE,...)
Arguments
object: An object class of 'penmodel_cmp', a fitted model by penmodel_cmp function.
correlation: Logical; if TRUE, returns the correlation matrix of the estimated parameters. Default is FALSE.
...: Further arguments passed to or from other methods.
Returns
Returns the object of class 'summary.penmodel_cmp', including the following summary values: - estimates: List of parameter estimates of transformed baseline parameters and regression coefficients, their standard errors, their robust standard errors if robust=TRUE was selected when fitting the penetrance model, t-statistics and corresponding two-sided p-values.
varcov: Variance-covariance matrix of the parameter estimates.
varcov.robust: Robust variance-covariance matrix of the parameter estimates if robust = TRUE was selected when fitting the penetrance model.
correlation: Correlation matrix obtained from the variance-covariance matrix.
correlation.robust: Correlation matrix obtained from the robust variance-covariance matrix if robust = TRUE was selected when fitting the penetrance model.
Examples
# Simulated family completing risks data ## Not run:set.seed(4321)fam1 <- simfam_cmp(N.fam =300, design ="pop+", variation ="frailty", competing=TRUE, base.dist ="Weibull", frailty.dist ="gamma", depend=c(0.5,1), allelefreq =0.02, base.parms = list(c(0.01,3), c(0.01,3)), vbeta = list(c(-1.13,2.35),c(-1,2)))# Penetrance model fit for the simulated family datafit <- penmodel_cmp( formula1 = Surv(time, status==1)~ gender + mgene, formula2 = Surv(time, status==2)~ gender + mgene, cluster ="famID", parms = list(c(0.01,3,-1.13,2.35), c(0.01,3,-1,2)), data = fam1, design ="pop+", base.dist ="Weibull")# Summary of the model parameter and penetrance estimates from model fitsummary(fit)## End(Not run)