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A new information integration framework for complex models with applications to real-world data.

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Title: A new information integration framework for complex models with applications to real-world data.
Authors: Liang J; Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA., Falve J; Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, MD, USA., Chen S; Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA.; Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA., McCoy R; Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.; Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.; University of Maryland Institute for Health Computing, North Bethesda, MD, USA., Chen C; Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.; University of Maryland Institute for Health Computing, North Bethesda, MD, USA.
Source: Statistical methods in medical research [Stat Methods Med Res] 2026 Jul; Vol. 35 (7), pp. 1366-1381. Date of Electronic Publication: 2026 May 23.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Liang+J%22">Liang J</searchLink>; Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA.<br /><searchLink fieldCode="AU" term="%22Falve+J%22">Falve J</searchLink>; Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Chen+S%22">Chen S</searchLink>; Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA.; Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22McCoy+R%22">McCoy R</searchLink>; Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.; Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.; University of Maryland Institute for Health Computing, North Bethesda, MD, USA.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.; University of Maryland Institute for Health Computing, North Bethesda, MD, USA.
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  Data: <searchLink fieldCode="JN" term="%229212457%22">Statistical methods in medical research</searchLink> [Stat Methods Med Res] 2026 Jul; Vol. 35 (7), pp. 1366-1381. <i>Date of Electronic Publication: </i>2026 May 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9212457 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-0334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209622802%22">09622802 </searchLink><i>NLM ISO Abbreviation: </i>Stat Methods Med Res <i>Subsets: </i>MEDLINE
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        Value: 10.1177/09622802261445563
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              Text: 2026 Jul
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