@article{Hinchliffe:252690,
      recid = {252690},
      author = {Hinchliffe, Sally R. and Scott, David A. and Lambert, Paul  C.},
      title = {Flexible parametric illness-death models},
      journal = {Stata Journal},
      address = {2013},
      number = {199-2016-2841},
      pages = {19},
      year = {2013},
      abstract = {It is usual in time-to-event data to have more than one  event of interest, for example, time to death from  different causes. Competing risks models can be applied in  these situations where events are considered mutually  exclusive absorbing states. That is, we have some initial  state—for example, alive with a diagnosis of cancer—and we  are interested in several different endpoints, all of which  are final. However, the progression of disease will usually  consist of one or more intermediary events that may alter  the progression to an endpoint. These events are neither  initial states nor absorbing states. Here we consider one  of the simplest multistate models, the illness-death model.  stpm2illd is a postestimation command used after fitting a  flexible parametric survival model with stpm2 to estimate  the probability of being in each of four states as a  function of time. There is also the option to generate  confidence intervals and transition hazard functions. The  new command is illustrated through a simple example.},
      url = {http://ageconsearch.umn.edu/record/252690},
      doi = {https://doi.org/10.22004/ag.econ.252690},
}