print.nphparams: Print nphparams Objects

In nph: Planning and Analysing Survival Studies under Non-Proportional Hazards

Print nphparams Objects

Description

Prints the results table of an nphparams object.

Usage

## S3 method for class 'nphparams'
print(x, ...)

Arguments

x	an object of class nphparams.
...	further arguments, not used.

Details

Estiamtes corresponding to differences at a log scale are transformed by taking exp(), and are labelled as ratios. I.e. differnces in log urvival probabilites, differences in log quantiles, cloglog survival differences (equivalent to the log cumulative hazard ratio), log average hazard ratios or Cox model log hazard ratioss are transformed to survival probability ratios, quantile ratios, cumulative hazard ratios, average hazard ratios or Cox model hazard ratios, respectively. In the output, the standard error at the backtransformed scale is calculated by the delta-method. Confidence interval bounds are calculated at the log-scale, though, and then transformed by taking exp().

Author(s)

Robin Ristl, [e-mail]

See Also

nphparams, plot.nphparams

Examples

data(pembro)
set1<-nphparams(time=time, event=event, group=group,data=pembro,
param_type=c("score","S"),
param_par=c(3.5,2),
param_alternative=c("less","greater"),
closed_test=TRUE,alternative_test="one.sided")
print(set1)
plot(set1,trt_name="Pembrolizumab",ctr_name="Cetuximab")

set2<-nphparams(time=time, event=event, group=group, data=pembro,  
param_type=c("S","S","S","Q","RMST"),
param_par=c(0.5,1,2,0.5,3.5))
print(set2)
plot(set2,showlines=TRUE,show_rmst_diff=TRUE)

nph documentation built on May 17, 2022, 1:06 a.m.