gsem: A Stata command for parametric joint modelling of longitudinal and accelerated failure time models


Dil E., KARASOY D.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.196, 2020 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 196
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.cmpb.2020.105612
  • Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Özet

Background: The number of studies using joint modelling of longitudinal and survival data have increased in the past two decades, but analytical techniques and software shortcomings have remained. A joint model is often used for analysis of a combination of longitudinal sub-model and survival sub-model using shared random effects. Cox regression commonly referring to the survival sub-model, should not be used when proportional hazards assumptions are not satisfied. In such cases, the parametric survival model is preferable.