summary.TPreg: Summarizing Details of the Estimated Effects on the...

In idmTPreg: Regression Model for Progressive Illness Death Data

Description

Gives details about the estimated effect of covariate(s) on pre-specified transition probabilities for a progressive illness-death model for a sequence of time from a given s to a given t.

Usage

## S3 method for class 'TPreg'
summary(object, ...)

Arguments

object	an object of class TPreg.
...	arguments to be passed to methods.

Details

summary.TPreg formats the coefficients, standard errors, etc. for the jump times already fixed by 's', 't', 'by' arguments, corresponding to the possible transition. The jump times come out in the first column of these components.

Value

summary.TPreg returns a list with at least the following components:

Call	the matched call.
Transition(s)	the specified transition(s).
(s,t)	the vector of current time and future time for the transition probabilities.
Coefficients	the matrix of selected jump times and their corresponding coefficients.
Standard Errors	the matrix of selected jump times and their corresponding standard errors.
Lower limits	the matrix of selected jump times and their corresponding lower confidence bands.
Upper limits	the matrix of selected jump times and their corresponding upper confidence bands.
p.values	the matrix of selected jump times and their corresponding p-values.

for Transitions = "11", "12", "13", "23", summary.TPreg gives Coefficients, Standard Errors, Lower limits, Upper limits, and p-values for each of Transition 11, Transition 12, Transition 13 and Transition 23.

See Also

TPreg, and generic functions print.TPreg and plot.TPreg.

Examples

## For examples see example TPreg.

idmTPreg documentation built on May 2, 2019, 3:35 p.m.