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A semi‐parametric Bayesian model for semi‐continuous longitudinal data

• Authors : Ren, Junting; Tapert, Susan; Fan, Chun Chieh

Subjects: Mathematical Sciences; Statistics; Alcoholism

• Source: Statistics in Medicine. 41(13)

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The impact of teacher care on teacher-student relationship: evidence from cross-sectional and longitudinal data

• Authors : Zhen Zhang; Yuxin Wang; Wenqing Deng

Subjects: teacher care; teacher-student relationship; teacher gender

• Source: Frontiers in Psychology, Vol 16 (2025)

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Youth perception of difficulty accessing cannabis following cannabis legalization and during the early and ongoing stages of the COVID-19 pandemic: repeat cross-sectional and longitudinal data from the COMPASS study

• Authors : Scott T. Leatherdale; Angelica Amores; Richard E. Bélanger

Subjects: COVID-19; Youth; Cannabis use

• Source: Archives of Public Health, Vol 81, Iss 1, Pp 1-11 (2023)

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Clustering longitudinal data using R: A Monte Carlo Study: a Monte Carlo study

• Authors : Peter Verboon; Ron Pat-El

Subjects: mixture model; longitudinal; MIXTURE

• Source: Methodology, Vol 18, Iss 2, Pp 144-163 (2022)Verboon, P & Pat El, R J 2022, ' Clustering longitudinal data using R : a Monte Carlo

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Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data

• Authors : Sharon Torao Pingi; Duoyi Zhang; Md Abul Bashar

Subjects: Generative adversarial network; Longitudinal; Joint representation learning

• Source: Data Science and Engineering, Vol 9, Iss 1, Pp 5-25 (2023)

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Mental health prior to and during the COVID‐19 pandemic in individuals with bipolar disorder: Insights from prospective longitudinal data.

• Authors : Lewis, Katie J. S.¹ (AUTHOR); Gordon‐Smith, Katherine² (AUTHOR); Saunders, Kate E. A.^3,4 (AUTHOR)

• Source: Bipolar Disorders. Sep2022, Vol. 24 Issue 6, p658-666. 9p. 1 Chart, 2 Graphs.

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Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review

• Authors : David Stevens; Deirdre A. Lane; Stephanie L. Harrison

Subjects: Cardiovascular disease; Longitudinal; Repeated measures

• Source: BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-24 (2021)

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Modeling longitudinal data and its impact on survival in observational nephrology studies: tools and considerations.

• Authors : Streja, Elani; Goldstein, Leanne; Soohoo, Melissa

Subjects: Humans; Kidney Diseases; Morbidity

• Source: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 32(suppl_2)

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Application of Longitudinal Data the Multilevel Models Approach on Diabetes Mellitus

• Authors : Wudneh Ketema Moges; Tena Manaye Endalamaw

Subjects: anova; diabetes; longitudinal

• Source: Journal of Health Science and Medical Research (JHSMR), Vol 41, Iss 3, Pp e2023936-e2023936 (2023)

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Feasibility of remote measurement in intensive longitudinal data collection for RA patients commencing a new treatment

• Authors : Hsiu Yen Tung; James Galloway; Faith Matcham

Subjects: Clinical sciences; rheumatoid arthritis; EMA

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