ELYP (version 0.7-3)

Pfun2: The Hazard Ratio in YP Model as a Function of beta1, beta2, a, X, and Mulam.

Description

This function compute the hazard ratio based on a Yang-Prentice model, given beta1, beta2, a, X and Mulam = int g(t) dH(t).

Usage

Pfun2(b1, b2, a, X, Mulam)

Arguments

b1

parameter value. = short term hazard ratio

b2

parameter: long term hazard ratio.

a

parameter

X

covariate

Mulam

it is int f(t)dH(t)= Mulam.

Value

A scalar which is the hazard ratio.

Details

The flexibility also rest on the definition of Mulam: it can using any f(t) function. If we use indicator I[ t <= t0 ] then Mulam is just the baseline cumulative hazard funtion at t0. Where do you define the Mulam? (in fitYP3....)

References

Zhou, M. (2002). Computing censored empirical likelihood ratio by EM algorithm. Tech Report, Univ. of Kentucky, Dept of Statistics

Examples

# NOT RUN {
## censored regression with one right censored observation.
## we check the estimation equation, with the MLE inside myfun7. 
y <- c(3, 5.3, 6.4, 9.1, 14.1, 15.4, 18.1, 15.3, 14, 5.8, 7.3, 14.4)
x <- c(1, 1.5, 2,   3,   4,    5,    6,    5,    4,  1,   2,   4.5)
d <- c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0)
# }