confint.ypbp: Confidence intervals for the regression coefficients

In YPBP: Yang and Prentice Model with Baseline Distribution Modeled by Bernstein Polynomials

Description

This function returns the estimated confidence intervals for the regression coefficients when the maximum likelihood estimation approach is used in the model fitting.

Usage

## S3 method for class 'ypbp'
confint(object, level = 0.95, ...)

Arguments

object	an object of the class ypbp.
level	the confidence level required.
...	further arguments passed to or from other methods.

Value

A matrix (or vector) with columns giving lower and upper confidence limits for the regression coefficients. These will be labeled as (1-level)/2 and 1 - (1-level)/2 in % (by default 2.5% and 97.5%).

Examples

fit <- ypbp(Surv(time, status)~arm, data=ipass)
confint(fit)

YPBP documentation built on July 1, 2020, 10:19 p.m.