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.
estimate_support_msm(gd, tmat)TODO
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.
A transition matrix as created by transMat
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, 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, tools:::Rd_expr_doi("10.1111/j.0006-341x.2001.00074.x")