{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T07:16:08Z","timestamp":1779174968070,"version":"3.51.4"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T00:00:00Z","timestamp":1738540800000},"content-version":"vor","delay-in-days":2,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Institutes of Health, National Institute of General Medical Sciences","award":["R35 GM144128"],"award-info":[{"award-number":["R35 GM144128"]}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000051","name":"National Human Genome Research Institute","doi-asserted-by":"publisher","award":["U01 HG012039"],"award-info":[{"award-number":["U01 HG012039"]}],"id":[{"id":"10.13039\/100000051","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institutes of Health, National Institute of Mental Health","award":["DP2 MH122405"],"award-info":[{"award-number":["DP2 MH122405"]}]},{"name":"National Institutes of Health, National Institute of Mental Health","award":["R01 HD107015"],"award-info":[{"award-number":["R01 HD107015"]}]},{"name":"National Institutes of Health, National Institute of Mental Health","award":["P2C HD042828"],"award-info":[{"award-number":["P2C HD042828"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>ipd is an open-source R software package for the downstream modeling of an outcome and its associated features where a potentially sizable portion of the outcome data has been imputed by an artificial intelligence or machine learning prediction algorithm. The package implements several recent proposed methods for inference on predicted data with a single, user-friendly wrapper function, ipd. The package also provides custom print, summary, tidy, glance, and augment methods to facilitate easy model inspection. This document introduces the ipd software package and provides a demonstration of its basic usage.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability<\/jats:title>\n                  <jats:p>ipd is freely available on CRAN or as a developer version at our GitHub page: github.com\/ipd-tools\/ipd. Full documentation, including detailed instructions and a usage \u2018vignette\u2019 are available at github.com\/ipd-tools\/ipd.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaf055","type":"journal-article","created":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T14:48:21Z","timestamp":1738594101000},"source":"Crossref","is-referenced-by-count":2,"title":["ipd: an R package for conducting inference on predicted data"],"prefix":"10.1093","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2763-0494","authenticated-orcid":false,"given":"Stephen","family":"Salerno","sequence":"first","affiliation":[{"name":"Public Health Sciences, Biostatistics, Fred Hutchinson Cancer Center , Seattle, WA 98109,","place":["United 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