{
  "abstract": "The LSJM R package provides a series of functions to estimate models based on location-scale linear mixed model and location-scale joint model theory. For longitudinal data, it includes the estimation of location-scale mixed models with subject-specific residual variance that can be time-dependent or distinguish within-visit and between-visits variability. When survival data is considered, implemented joint models handle competing risks as well as semi-competing risks possibly with interval-censored data through the use of a illness-death sub-model. They incorporate flexible dependence structure between the longitudinal marker and the times-to-events through the current value, the slope and/or the residual variability of the marker. Maximum likelihood estimators are obtained using the Marquardt-Levenberg algorithm with stringent convergence criteria. The package also provides several post-fit functions including goodness-of-fit analyses and individual dynamic predictions. Some examples on real data allows to illustrates the use of this package.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.03990",
  "author_total": 3,
  "authors": [
    {
      "name": "Léonie Courcoul"
    },
    {
      "name": "Hélène Jacqmin-Gadda"
    },
    {
      "name": "Antoine Barbieri"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9te43p32pkf5x.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.03990",
  "fulltext_url": null,
  "id": "9te43p32pkf5x",
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  "landing_url": "https://arxiv.org/abs/2610.03990",
  "language": null,
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  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "stat.CO"
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      "arxiv",
      "stat.ME"
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      "openalex",
      "2613|Statistical Methods and Bayesian Inference"
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  "openalex": "W7220685004",
  "pdf_url": "https://arxiv.org/pdf/2610.03990",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-02",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/9te43p32pkf5x.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:27:16Z",
      "native_id": "2610.03990",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.03990"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.CO",
      "subfield": "statistics"
    }
  ],
  "title": "The R package LSJM for fitting location-scale joint models for a longitudinal marker and complex survival data",
  "title_text": "The R package LSJM for fitting location-scale joint models for a longitudinal marker and complex survival data",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:16Z",
  "url": "https://research.draconitic.com/paper/9te43p32pkf5x",
  "venue": "arXiv",
  "versions": []
}