| Title: | Survivor Function Estimation for Doubly Interval-Censored Failure Time Data |
| Version: | 1.1 |
| Author: | James McVittie |
| Maintainer: | James McVittie <james.mcvittie@mail.mcgill.ca> |
| Description: | Contains the discrete nonparametric survivor function estimation algorithm of De Gruttola and Lagakos for doubly interval-censored failure time data and the discrete nonparametric survivor function estimation algorithm of Sun for doubly interval-censored left-truncated failure time data [Victor De Gruttola & Stephen W. Lagakos (1989) <doi:10.2307/2532030>] [Jianguo Sun (1995) <doi:10.2307/2533008>]. |
| Depends: | R (≥ 3.1.1) |
| License: | GPL-2 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 5.0.1.9000 |
| NeedsCompilation: | yes |
| Packaged: | 2017-09-03 17:33:46 UTC; jmcvittie |
| Repository: | CRAN |
| Date/Publication: | 2017-09-03 17:55:28 UTC |
Estimate Survivor Function using 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))
Estimate Survivor Function using Doubly Interval-Censored Left-Truncated Failure Time Data
Description
Estimates the discrete Survivor Function from doubly interval-censored left-truncated failure time data using the algorithm of Sun.
Usage
Sunwghts(Ei, Ri, Li, Ui, Bi1, Bi2)Arguments
Ei |
The left endpoint of the censoring interval for the initial event time |
Ri |
The right endpoint of the censoring interval for the initial event time |
Li |
The left endpoint of the censoring interval for the terminating event time |
Ui |
The right endpoint of the censoring interval for the terminating event time |
Bi1 |
The left endpoint of the truncation interval for the terminating event time |
Bi2 |
The right endpoint of the truncation interval for the terminating event time |
Details
Set Ei = Ri if the initial event is observed. Set Li = Ui if the terminating event is observed. Set Ei = -INF if the initial event is left-censored. Set Ri = INF if the terminating event is right-censored.
Value
Sunwghts returns a list containing the following components
uj |
A vector of mass points for survival lengths |
fnew |
A vector of estimated probabilities for uj |
counter |
Number of iterations required for convergence |
References
Sun, J. (1995). Empirical Estimation of a Distribution Function with Truncated and Doubly Interval-Censored Data and Its Applications to AIDS Studies. Biometrics 51 (3): 1096-1104.
Examples
test <- Sunwghts(c(1,2,1), c(4,4,4), c(5,8,9), c(5,9,10),
c(4.4,4.5,8), c(Inf, Inf, Inf))