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Modified interactive Q-learning for attenuating the impact of model misspecification with treatment effect heterogeneity.

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Title: Modified interactive Q-learning for attenuating the impact of model misspecification with treatment effect heterogeneity.
Authors: Zhang Y; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA., Vock DM; Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA., Patrick ME; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA., Murray TA; Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Source: Statistical methods in medical research [Stat Methods Med Res] 2023 Nov; Vol. 32 (11), pp. 2240-2253. Date of Electronic Publication: 2023 Oct 20.
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="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Vock+DM%22">Vock DM</searchLink>; Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.<br /><searchLink fieldCode="AU" term="%22Patrick+ME%22">Patrick ME</searchLink>; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Murray+TA%22">Murray TA</searchLink>; Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
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        Value: 10.1177/09622802231206471
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      – TitleFull: Modified interactive Q-learning for attenuating the impact of model misspecification with treatment effect heterogeneity.
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              Text: 2023 Nov
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