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  "Title": "Visualization the Effects of Collinearity in Distributed Lag\nModels and Other Linear Models",
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  "Authors@R": "c(person(given = \"Jose\", family = \"Barrera-Gomez\", role = c(\"aut\", \"cre\"), email = \"jose.barrera@isglobal.org\",\ncomment = c(ORCID = \"0000-0002-2688-6036\")),\nperson(given = \"Xavier\", family = \"Basagana\", role = \"aut\", email = \"xavier.basagana@isglobal.org\",\ncomment = c(ORCID = \"0000-0002-8457-1489\")))",
  "Description": "Tool to assessing whether the results of a study could be\ninfluenced by collinearity. Simulations under a given\nhypothesized truth regarding effects of an exposure on the\noutcome are used and the resulting curves of lagged effects are\nvisualized. A user's manual is provided, which includes\ndetailed examples (e.g. a cohort study looking for windows of\nvulnerability to air pollution, a time series study examining\nthe linear association of air pollution with hospital\nadmissions, and a time series study examining the non-linear\nassociation between temperature and mortality). The methods are\ndescribed in Basagana and Barrera-Gomez (2021)\n<doi:10.1093/ije/dyab179>.",
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  "Author": "Jose Barrera-Gomez [aut, cre]\n(<https://orcid.org/0000-0002-2688-6036>), Xavier Basagana\n[aut] (<https://orcid.org/0000-0002-8457-1489>)",
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