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Hybrid models were found to be very elegant to disentangle longitudinal within- and between-subject relationships
Hybrid models were found to be very elegant to disentangle longitudinal within- and between-subject relationships
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Hybrid models were found to be very elegant to disentangle longitudinal within- and between-subject relationships

Twisk, Jos W.R. ; de Vente, Wieke

Journal of clinical epidemiology, 2019-03, Vol.107, p.66-70 [Periódico revisado por pares]

United States: Elsevier Inc

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2
Sedentary behaviour is associated with depression symptoms: Compositional data analysis from a representative sample of 3233 US adults and older adults assessed with accelerometers
Sedentary behaviour is associated with depression symptoms: Compositional data analysis from a representative sample of 3233 US adults and older adults assessed with accelerometers
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Sedentary behaviour is associated with depression symptoms: Compositional data analysis from a representative sample of 3233 US adults and older adults assessed with accelerometers

del Pozo Cruz, Borja ; Alfonso-Rosa, Rosa M. ; McGregor, Duncan ; Chastin, Sebastien F. ; Palarea-Albaladejo, Javier ; del Pozo Cruz, Jesus

Journal of affective disorders, 2020-03, Vol.265, p.59-62 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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3
Asymmetric velocity profiles in Paralympic powerlifters performing at different exercise intensities are detected by functional data analysis
Asymmetric velocity profiles in Paralympic powerlifters performing at different exercise intensities are detected by functional data analysis
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Asymmetric velocity profiles in Paralympic powerlifters performing at different exercise intensities are detected by functional data analysis

Ramos Dalla Bernardina, Gustavo ; Danillo Matos dos Santos, Marcelo ; Alves Resende, Renan ; Túlio de Mello, Marco ; Rodrigues Albuquerque, Maicon ; Augusto Paolucci, Leopoldo ; P. Carpes, Felipe ; Silva, Andressa ; Gustavo Pereira de Andrade, André

Journal of biomechanics, 2021-06, Vol.123, p.110523-110523, Article 110523 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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4
Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis
Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis
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Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

Levis, Brooke ; Benedetti, Andrea ; Ioannidis, John P.A. ; Sun, Ying ; Negeri, Zelalem ; He, Chen ; Wu, Yin ; Krishnan, Ankur ; Bhandari, Parash Mani ; Neupane, Dipika ; Imran, Mahrukh ; Rice, Danielle B. ; Riehm, Kira E. ; Saadat, Nazanin ; Azar, Marleine ; Boruff, Jill ; Cuijpers, Pim ; Gilbody, Simon ; Kloda, Lorie A. ; McMillan, Dean ; Patten, Scott B. ; Shrier, Ian ; Ziegelstein, Roy C. ; Alamri, Sultan H. ; Amtmann, Dagmar ; Ayalon, Liat ; Baradaran, Hamid R. ; Beraldi, Anna ; Bernstein, Charles N. ; Bhana, Arvin ; Bombardier, Charles H. ; Carter, Gregory ; Chagas, Marcos H. ; Chibanda, Dixon ; Clover, Kerrie ; Conwell, Yeates ; Diez-Quevedo, Crisanto ; Fann, Jesse R. ; Fischer, Felix H. ; Gholizadeh, Leila ; Gibson, Lorna J. ; Green, Eric P. ; Greeno, Catherine G. ; Hall, Brian J. ; Haroz, Emily E. ; Ismail, Khalida ; Jetté, Nathalie ; Khamseh, Mohammad E. ; Kwan, Yunxin ; Lara, Maria Asunción ; Liu, Shen-Ing ; Loureiro, Sonia R. ; Löwe, Bernd ; Marrie, Ruth Ann ; Marsh, Laura ; McGuire, Anthony ; Muramatsu, Kumiko ; Navarrete, Laura ; Osório, Flávia L. ; Petersen, Inge ; Picardi, Angelo ; Pugh, Stephanie L. ; Quinn, Terence J. ; Rooney, Alasdair G. ; Shinn, Eileen H. ; Sidebottom, Abbey ; Spangenberg, Lena ; Tan, Pei Lin Lynnette ; Taylor-Rowan, Martin ; Turner, Alyna ; van Weert, Henk C. ; Vöhringer, Paul A. ; Wagner, Lynne I. ; White, Jennifer ; Winkley, Kirsty ; Thombs, Brett D.

Journal of clinical epidemiology, 2020-06, Vol.122, p.115-128.e1 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Big Data Analysis and Machine Learning in Intensive Care Units
Big Data Analysis and Machine Learning in Intensive Care Units
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Big Data Analysis and Machine Learning in Intensive Care Units

Núñez Reiz, A ; Armengol de la Hoz, M A ; Sánchez García, M

Medicina intensiva (English ed.), 2019-10, Vol.43 (7), p.416-426 [Periódico revisado por pares]

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6
Evaluating the potential of near infrared hyperspectral imaging associated with multivariate data analysis for examining crossing ink lines
Evaluating the potential of near infrared hyperspectral imaging associated with multivariate data analysis for examining crossing ink lines
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Evaluating the potential of near infrared hyperspectral imaging associated with multivariate data analysis for examining crossing ink lines

Rodrigues e Brito, Lívia ; Braz, André ; Saldanha Honorato, Ricardo ; Pimentel, Maria Fernanda ; Pasquini, Celio

Forensic science international, 2019-05, Vol.298, p.169-176 [Periódico revisado por pares]

Ireland: Elsevier B.V

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7
Airway pathological heterogeneity in asthma: Visualization of disease microclusters using topological data analysis
Airway pathological heterogeneity in asthma: Visualization of disease microclusters using topological data analysis
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Airway pathological heterogeneity in asthma: Visualization of disease microclusters using topological data analysis

Siddiqui, Salman ; Shikotra, Aarti ; Richardson, Matthew ; Doran, Emma ; Choy, David ; Bell, Alex ; Austin, Cary D. ; Eastham-Anderson, Jeffrey ; Hargadon, Beverley ; Arron, Joseph R. ; Wardlaw, Andrew ; Brightling, Christopher E. ; Heaney, Liam G. ; Bradding, Peter

Journal of allergy and clinical immunology, 2018-11, Vol.142 (5), p.1457-1468 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Associations between the composition of daily time spent in physical activity, sedentary behaviour and sleep and risk of depression: Compositional data analyses of the 1970 British cohort Study
Associations between the composition of daily time spent in physical activity, sedentary behaviour and sleep and risk of depression: Compositional data analyses of the 1970 British cohort Study
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Associations between the composition of daily time spent in physical activity, sedentary behaviour and sleep and risk of depression: Compositional data analyses of the 1970 British cohort Study

Blodgett, J.M. ; Mitchell, J.J. ; Stamatakis, E. ; Chastin, S. ; Hamer, M.

Journal of affective disorders, 2023-01, Vol.320, p.616-620 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
Association of physical activity with loss of knee joint space width over two years: a compositional data analysis in the Osteoarthritis Initiative
Association of physical activity with loss of knee joint space width over two years: a compositional data analysis in the Osteoarthritis Initiative
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Association of physical activity with loss of knee joint space width over two years: a compositional data analysis in the Osteoarthritis Initiative

Voinier, D. ; Neogi, T. ; Arbeeva, L. ; Voinier, S. ; Master, H. ; Thoma, L.M. ; Brunette, M. ; Jakiela, J.T. ; White, D.K.

Osteoarthritis and cartilage, 2023-08, Vol.31 (8), p.1091-1100 [Periódico revisado por pares]

England: Elsevier Ltd

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10
Trend of measles-rubella vaccination coverage and impact on measles epidemiology in the Savannah Region, Ghana; 2018–2022: A secondary data analysis
Trend of measles-rubella vaccination coverage and impact on measles epidemiology in the Savannah Region, Ghana; 2018–2022: A secondary data analysis
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Trend of measles-rubella vaccination coverage and impact on measles epidemiology in the Savannah Region, Ghana; 2018–2022: A secondary data analysis

Rockson Adjei, Michael ; Longsignikuu, Amos ; Saeed Iddris, Ibrahim ; Nang Suuri, Thomas ; Asamoah, Byrite ; Okoye, Michael ; Vanessa Baafi, Janet ; Kubio, Chrysantus ; Ohene, Sally-Ann ; Peter Grobusch, Martin

Vaccine, 2024-03, Vol.42 (8), p.1910-1917 [Periódico revisado por pares]

Netherlands: Elsevier Ltd

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