summary.SingleSimFit: summary.SingleSimFit

In dejaVu: Multiple Imputation for Recurrent Events

Description

The summary object for a SingleSimFit object

Arguments

model.summary	The model summary from the fit
treatment.effect	The estimate of treatment effect from the model fit
CI.limit	The confidence interval limit (by default 0.95), call summary(object,CI.limit=x) to use CI of x instead.
CI	The confidence interval of the treatment effect
se	Estimate for the standard error of (log) treatment effect
dispersion	Estimate for the dispersion parameter or numeric(0) if Poisson/quasi-Poisson model used
rate.estimate	Estimate of the event rates from the model a vector c(control arm, treatment arm)
pval	The p value directly from the model fit (this is for the single model fit only, i.e. not using Rubin's formula)
datastatus	The status of SingleSim object to which the fit was applied
df	The number of degrees of freedom of the model
dropout	The number of dropouts of each arm
number.subjects	The number of subjects in each arm

Details

A print.summary.SingleSimFit method has been implemented

See Also

SingleSimFit.object

Examples

sim <- SimulateComplete(study.time=365,number.subjects=50,
event.rates=c(0.01,0.005),dispersions=0.25)
fit <- Simfit(sim)
summary(fit)

dejaVu documentation built on April 27, 2021, 5:07 p.m.