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A semi‐parametric Bayesian model for semi‐continuous longitudinal data
Ren, Junting, Tapert, Susan, Fan, Chun Chieh, Thompson, Wesley K.
Published in Statistics in medicine (15.06.2022)
Published in Statistics in medicine (15.06.2022)
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The relationship between wasting and stunting: a retrospective cohort analysis of longitudinal data in Gambian children from 1976 to 2016
Schoenbuchner, Simon M, Dolan, Carmel, Mwangome, Martha, Hall, Andrew, Richard, Stephanie A, Wells, Jonathan C, Khara, Tanya, Sonko, Bakary, Prentice, Andrew M, Moore, Sophie E
Published in The American journal of clinical nutrition (01.08.2019)
Published in The American journal of clinical nutrition (01.08.2019)
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Extending the Case-Control Design to Longitudinal Data: Stratified Sampling Based on Repeated Binary Outcomes
Schildcrout, Jonathan S, Schisterman, Enrique F, Mercaldo, Nathaniel D, Rathouz, Paul J, Heagerty, Patrick J
Published in Epidemiology (Cambridge, Mass.) (01.01.2018)
Published in Epidemiology (Cambridge, Mass.) (01.01.2018)
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A Bayesian zero‐inflated beta‐binomial model for longitudinal data with group‐specific changepoints
Wen, Chun‐Che, Baker, Nathaniel, Paul, Rajib, Hill, Elizabeth, Hunt, Kelly, Li, Hong, Gray, Kevin, Neelon, Brian
Published in Statistics in medicine (15.01.2024)
Published in Statistics in medicine (15.01.2024)
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Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data
Huang, Zhongwei, Lei, Haijun, Chen, Guoliang, Frangi, Alejandro F., Xu, Yanwu, Elazab, Ahmed, Qin, Jing, Lei, Baiying
Published in IEEE transaction on neural networks and learning systems (01.08.2022)
Published in IEEE transaction on neural networks and learning systems (01.08.2022)
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A bidimensional finite mixture model for longitudinal data subject to dropout
Spagnoli, Alessandra, Marino, Maria Francesca, Alfò, Marco
Published in Statistics in medicine (10.09.2018)
Published in Statistics in medicine (10.09.2018)
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The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data
Schmidt, Mark E, Chiao, Ping, Klein, Gregory, Matthews, Dawn, Thurfjell, Lennart, Cole, Patricia E, Margolin, Richard, Landau, Susan, Foster, Norman L, Mason, N. Scott, De Santi, Susan, Suhy, Joyce, Koeppe, Robert A, Jagust, William
Published in Alzheimer's & dementia (01.09.2015)
Published in Alzheimer's & dementia (01.09.2015)
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Ambient air pollution and male fecundity: A retrospective analysis of longitudinal data from a Chinese human sperm bank (2013–2018)
Qiu, Yang, Yang, Tingting, Seyler, Barnabas C., Wang, Xiuli, Wang, Yuan, Jiang, Min, Liu, Bo, Li, Fuping
Published in Environmental research (01.07.2020)
Published in Environmental research (01.07.2020)
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MixWILD: A program for examining the effects of variance and slope of time-varying variables in intensive longitudinal data
Dzubur, Eldin, Ponnada, Aditya, Nordgren, Rachel, Yang, Chih-Hsiang, Intille, Stephen, Dunton, Genevieve, Hedeker, Donald
Published in Behavior research methods (01.08.2020)
Published in Behavior research methods (01.08.2020)
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Risk factors for meniscal body extrusion on MRI in subjects free of radiographic knee osteoarthritis: longitudinal data from the Osteoarthritis Initiative
Zhang, F., Kumm, J., Svensson, F., Turkiewicz, A., Frobell, R., Englund, M.
Published in Osteoarthritis and cartilage (01.05.2016)
Published in Osteoarthritis and cartilage (01.05.2016)
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Digital Module 16: Longitudinal Data Analysis
Harring, Jeffrey R., Johnson, Tessa L.
Published in Educational measurement, issues and practice (01.09.2020)
Published in Educational measurement, issues and practice (01.09.2020)
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