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  "Title": "Pool Literature-Based and Individual Participant Data Based\nSpline Estimates",
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  "Authors@R": "person(\"Tommi\", \"Härkänen\", , \"tommi.harkanen@thl.fi\", role = c(\"aut\", \"cre\"))",
  "Author": "Tommi Härkänen [aut, cre]",
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  "Description": "Pooling estimates reported in meta-analyses\n(literature-based, LB) and estimates based on individual\nparticipant data (IPD) is not straight-forward as the details\nof the LB nonlinear function estimate are not usually reported.\nThis package pools the nonlinear IPD dose-response estimates\nbased on a natural cubic spline from lm or glm with the\npointwise LB estimates and their estimated variances. Details\nwill be presented in Härkänen, Tapanainen, Sares-Jäske,\nMännistö, Kaartinen and Paalanen (2026) \"Novel pooling method\nfor nonlinear cohort analysis and meta-analysis estimates:\nPredicting health outcomes based on climate-friendly diets\"\nEpidemiology <doi:10.1097/EDE.0000000000001932>.",
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        "Regression analysis using the individual participant data (IPD)",
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