DGLwghts: Estimate Survivor Function using Doubly Interval-Censored...

In doubcens: Survivor Function Estimation for Doubly Interval-Censored Failure Time Data

Description

Estimates the discrete Survivor Function from doubly interval-censored failure time data using the algorithm of De Gruttola and Lagakos.

Usage

DGLwghts(X_L, X_R, Z_L, Z_R)

Arguments

X_L	The left endpoint of the censoring interval for the initial event time
X_R	The right endpoint of the censoring interval for the initial event time
Z_L	The left endpoint of the censoring interval for the terminating event time
Z_R	The right endpoint of the censoring interval for the terminating event time

Details

Set X_L = X_R if the initial event is observed. Set Z_L = Z_R if the terminating event is observed. Set X_L = -INF if the initial event is left-censored. Set Z_R = INF if the terminating event is right-censored.

Value

DGLwghts returns a list containing the following components

x_val	A vector of mass points for initial event
w_new	A vector of estimated probabilities for x_val
t_val	A vector of mass points for terminating event
f_new	A vector of estimated probabilities for t_val
counter	Number of iterations required for convergence

References

De Gruttola, V. and Lagakos, S. (1989). Analysis of Doubly-Censored Survival Data, with Applications to AIDS. Biometrics 45 (1): 1-11.

Examples

test <- DGLwghts(c(1,1,1), c(1,2,1), c(1,2,3), c(Inf, Inf, Inf))

doubcens documentation built on May 2, 2019, 9:19 a.m.