A latent class location-scale regression model with an application to calorie intake data.

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Title: A latent class location-scale regression model with an application to calorie intake data.
Authors: Zhang X; Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA. xrzhang@uchicago.edu., Siddique J; Department of Preventive Medicine, Northwestern University, Chicago, IL, USA., Spring B; College of Medicine, Florida State University, Tallahassee, FL, USA., Hedeker D; Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA.
Source: Journal of behavioral medicine [J Behav Med] 2026 Apr; Vol. 49 (2), pp. 275-285. Date of Electronic Publication: 2026 Jan 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 7807105 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-3521 (Electronic) Linking ISSN: 01607715 NLM ISO Abbreviation: J Behav Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA. xrzhang@uchicago.edu.<br /><searchLink fieldCode="AU" term="%22Siddique+J%22">Siddique J</searchLink>; Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Spring+B%22">Spring B</searchLink>; College of Medicine, Florida State University, Tallahassee, FL, USA.<br /><searchLink fieldCode="AU" term="%22Hedeker+D%22">Hedeker D</searchLink>; Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA.
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        Value: 10.1007/s10865-025-00613-7
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      – Code: eng
        Text: English
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        StartPage: 275
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      – TitleFull: A latent class location-scale regression model with an application to calorie intake data.
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            NameFull: Zhang X
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            NameFull: Siddique J
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            NameFull: Spring B
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              Text: 2026 Apr
              Type: published
              Y: 2026
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