May 15, 2012, Prested by George Reed, PhD
Modeling disease states using Markov models with covariate dependence and time varying intervals.
An example of modeling transitions among multiple disease states where measurements are not made at fixed and equal time intervals and the primary interest is in factors associated with the transition probabilities. Both first order and higher order Markov models are considered.