{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreib3hokai45wkw5fop6bhufkwlmdvoqrq2tlay3wzf6imko3eyenji",
    "uri": "at://did:plc:wwyqal4cnqhuwyacdj7rqq3n/app.bsky.feed.post/3mjlhiwip6ag2"
  },
  "path": "/t/adjustment-in-joint-models/28547#post_4",
  "publishedAt": "2026-04-14T14:11:18.000Z",
  "site": "https://discourse.datamethods.org",
  "tags": [
    "Joseph G. Ibrahim et al.",
    "10.1200/JCO.2009.25.0654",
    "https://doi.org/10.1002/sim.8713"
  ],
  "textContent": "Hope these papers help, as they explain the rationale for adjusting certain variables in joint modelling:Joseph G. Ibrahim et al.\n\nBasic Concepts and Methods for Joint Models of Longitudinal and Survival Data. _J Clin Oncol_ **28** , 2796-2801(2010).\n\nDOI:10.1200/JCO.2009.25.0654\n\nAnd\n\nvanOudenhoven FM, Swinkels SHN, Ibrahim JG, Rizopoulos D. A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework. Statistics in Medicine. 2020;39:4120–4132. https://doi.org/10.1002/sim.8713\n\nYou could try several models with different combinations of factors in each submodel, before deciding on a final joint model.",
  "title": "Adjustment in joint models"
}