{
  "abstract": "Generating data with desired properties for a logistic regression model under controlled conditions is challenging. We propose an integrated iterative bisection algorithm that determines values of the intercept and regression coefficients capable of generating data with a specified prevalence and predictive accuracy. The performance of the proposed method is demonstrated through simulation studies. We further show that the choice of parameter values, or, in a Bayesian setting, the choice of priors for these parameters, induces a particular level of predictive accuracy. This relationship should therefore be taken into account when generating data for model evaluation under controlled conditions.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.12381",
  "author_total": 2,
  "authors": [
    {
      "name": "Kabiru Abubakari"
    },
    {
      "name": "Silvia Liverani"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f8skxdq5t405f.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.12381",
  "fulltext_url": null,
  "id": "f8skxdq5t405f",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.12381",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "stat.ME"
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      "openalex",
      "2613|Statistical Methods in Epidemiology"
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  ],
  "openalex": "W7221132421",
  "pdf_url": "https://arxiv.org/pdf/2610.12381",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-08",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/f8skxdq5t405f.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:28:03Z",
      "native_id": "2610.12381",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.12381"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.ME",
      "subfield": "statistics"
    }
  ],
  "title": "Data generation for the logistic regression model under controlled conditions",
  "title_text": "Data generation for the logistic regression model under controlled conditions",
  "type": "preprint",
  "updated_at": "2026-10-30T12:28:03Z",
  "url": "https://research.draconitic.com/paper/f8skxdq5t405f",
  "venue": "arXiv",
  "versions": []
}