summary.LRfit: Summary of the analysis results

In WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Description

Summarize the inferential results for group-specific while-alive loss rates and the loss rate ratios at a user-specified length of follow-up.

Usage

## S3 method for class 'LRfit'
summary(object, tau = NULL, ref = NULL, joint.test = FALSE, ...)

Arguments

object	An object returned by LRfit.
tau	A positive real number for the follow-up time; Default is the maximum event time in the data.
ref	The label of the group to be set as the reference; Default is the first level by numerical or alphabetical order
joint.test	If TRUE, joint analysis with the restricted mean survival time (RMST) will be performed; Default is FALSE.
...	Additional arguments affecting the summary produced.

Value

An object of class summary.LRfit with components

LRtab	A (J\times 4)-dimensional matrix containing the inference results for the log-loss rate; Columns include Estimate, Std.Err, Z value, and Pr(>|z|).
Rtab	A (J\times 4)-dimensional matrix containing the inference results for the log-raw cumulative loss if joint.test=TRUE; Columns include Estimate, Std.Err, Z value, and Pr(>|z|).
Dtab	A (J\times 4)-dimensional matrix containing the inference results for the log-RMST if joint.test=TRUE; Columns include Estimate, Std.Err, Z value, and Pr(>|z|).
LRpval	p-value for the (J-1)-df chi-square test of group difference in the loss rate.
LRDpval	p-value for the 2(J-1)-df joint chi-square test of group difference in the loss rate and RMST.
...

See Also

LRfit, plot.LRfit.

Examples

#See examples for LRfit().

WA documentation built on Nov. 18, 2021, 1:10 a.m.