estimate_support_msm: Estimate the support of a general Markov interval-censored...

In icmstate: Interval Censored Multi-State Models

Estimate the support of a general Markov interval-censored Multi-state model without loops.

Description

Given a realisation of a multi-state model, estimate the support of the different transitions possible in that MSM. The estimation is performed by viewing each possible state in a competing risks setting and applying the result of Hudgens (2001) to determine the support and left-truncation intervals and Hudgens (2005) to check whether a solution is possible.

Usage

estimate_support_msm(gd, tmat)

Arguments

gd	A data.frame with the following named columns id: Subject idenitifier; state: State at which the subject is observed at time; time: Time at which the subject is observed; The true transition time between states is then interval censored between the times.
tmat	A transition matrix as created by transMat

Value

TODO

References

Michael G. Hudgens, On Nonparametric Maximum Likelihood Estimation with Interval Censoring and Left Truncation, Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 67, Issue 4, September 2005, Pages 573-587, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1467-9868.2005.00516.x")}

M. G. Hudgens, G. A. Satten, and I. M. Longini, Nonparametric Maximum Likelihood Estimation for Competing Risks Survival Data Subject to Interval Censoring and Truncation, Biometrics, vol. 57, no. 1, Pages 74-80, March 2001, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.0006-341x.2001.00074.x")}

icmstate documentation built on April 3, 2025, 8:06 p.m.