Longitudinal studies that use data collected as part of usual care risk reporting biased results: a systematic review by Delaram Farzanfar, Asmaa Abumuamar, Jayoon Kim, Emily Sirotich, Yue Wang, Eleanor Pullenayegum

Subjects: “…Longitudinal data…”
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Assistive technology access in longitudinal datasets: a global review by Jamie Danemayer, Sophie Mitra, Cathy Holloway, Shereen Hussein

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Prediction of unemployment rate of Iran based on longitudinal model in Bayesian paradigm by Taban Baghfalaki, Ashkan ُShabak

Subjects: “…longitudinal data…”
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Urinary cortisol is lower in pregnant women with higher pre-pregnancy BMI by Emily E. Hohman, Joshua M. Smyth, Katherine M. McNitt, Katherine M. McNitt, Abigail M. Pauley, Danielle Symons Downs, Danielle Symons Downs, Jennifer S. Savage, Jennifer S. Savage

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Unemployment and Subjective Well-being Among the Youth: Evidence from a Longitudinal Study in Poland by Magdalena Rokicka, Małgorzata Kłobuszewska, Marta Palczyńska

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Student Achievement Trajectories in Ontario: Creating and validating a province-wide, multi-cohort and longitudinal database by Jeanne Sinclair, Scott Davies, Magdalena Janus

Subjects: “…longitudinal data…”
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Trends of Body Mass Index changes among adults on antiretroviral therapy in Northwest Ethiopia: a longitudinal data analysis by Berihun Bantie, Natnael Atnafu Gebeyehu, Getachew Asmare Adella, Gizachew Ambaw Kassie, Misganaw Asmamaw Mengstie, Endeshaw Chekol Abebe, Mohammed Abdu Seid, Molalegn Mesele Gesese, Kirubel Dagnaw Tegegne, Denekew Tenaw Anley, Melkamu Aderajew Zemene, Anteneh Mengist Dessie, Sefineh Fenta Feleke, Tadesse Asmamaw Dejenie, Yenealem Solomon Kebede, Ermias Sisay Chanie, Gashaw Kerebeh, Wubet Alebachew Bayih, Natnael Moges

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Obesity Prevention in Early Life (OPEL) study: linking longitudinal data to capture obesity risk in the first 1000 days by Erika R Cheng, Sami Gharbi, Tammie L Nelson, Sarah E Wiehe

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Generalised weibull model-based approaches to detect non-constant hazard to signal adverse drug reactions in longitudinal data by Odile Sauzet, Odile Sauzet, Victoria Cornelius

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Comparative effectiveness of explainable machine learning approaches for extrauterine growth restriction classification in preterm infants using longitudinal data by Kee Hyun Cho, Kee Hyun Cho, Eun Sun Kim, Eun Sun Kim, Jong Wook Kim, Cheol-Heui Yun, Cheol-Heui Yun, Jae-Won Jang, Jae-Won Jang, Payam Hosseinzadeh Kasani, Payam Hosseinzadeh Kasani, Heui Seung Jo, Heui Seung Jo

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The effect of kinesiophobia in older people with acute low back pain: longitudinal data from Back Complaints in the Elders (BACE) by Diogo Carvalho Felício, José Elias Filho, Daniele Sirineu Pereira, Barbara Zille de Queiroz, Amanda Aparecida Oliveira Leopoldino, Vitor Tigre Martins Rocha, Leani Souza Máximo Pereira

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Penalized spline estimator with multi smoothing parameters in bi-response multi-predictor nonparametric regression model for longitudinal data by Anna Islamiyati, Fatmawati, Nur Chamidah

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Analysis of the association between glomerular filtration rate, proteinuria and metabolic syndrome in chronic kidney patients based on longitudinal data by Li Guo, Shanshan Guo, Youlan Gong, Jing Li, Jiandong Li

“…Metabolic syndrome (MS) manifests as dysfunction of endothelial cells and chronic functional inflammatory states, and may be involved in pathological changes related to renal impairment. Based on longitudinal data analysis of the association between estimated glomerular filtration rate (eGFR), proteinuria and MS in patients with CKD, this study aims to provide new ideas for the pathophysiological mechanism of CKD and a theoretical basis for the early prevention and effective intervention of MS‐related kidney damage. …”
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CNS Manifestations in Mucolipidosis Type II—A Retrospective Analysis of Longitudinal Data on Neurocognitive Development and Neuroimaging in Eleven Patients by Luise Sophie Ammer, Karolin Täuber, Anna Perez, Thorsten Dohrmann, Jonas Denecke, René Santer, Ulrike Blümlein, Ann-Kathrin Ozga, Sandra Pohl, Nicole Maria Muschol

“…Mental inhibition and progressive neurodegeneration are commonly reported disease manifestations. Nevertheless, longitudinal data on neurocognitive testing and neuroimaging lack in current literature. …”
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Longitudinal data reveal strong genetic and weak non-genetic components of ethnicity-dependent blood DNA methylation levels by Chris McKennan, Katherine Naughton, Catherine Stanhope, Meyer Kattan, George T. O’Connor, Megan T. Sandel, Cynthia M. Visness, Robert A. Wood, Leonard B. Bacharier, Avraham Beigelman, Stephanie Lovinsky-Desir, Alkis Togias, James E. Gern, Dan Nicolae, Carole Ober

“…We developed a novel Bayesian method for high-dimensional longitudinal data and showed that race-associated DNAm patterns at birth and age 7 are nearly identical. …”
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“A net for everyone”: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient by Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek

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Unique NISTAR-Based Climate GCM Diagnostics of the Earth’s Planetary Albedo and Spectral Absorption Through Longitudinal Data Slicing by Andrew A. Lacis, Barbara E. Carlson, Gary L. Russell, Alexander Marshak, Wenying Su

“…This is where the unique DSCOVR viewing geometry makes possible the longitudinal data slicing methodology for more direct model/data comparison. …”
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The relationship between wasting and stunting: a retrospective cohort analysis of longitudinal data in Gambian children from 1976 to 2016. by Schoenbuchner, SM, Dolan, C, Mwangome, M, Hall, A, Richard, SA, Wells, JC, Khara, T, Sonko, B, Prentice, AM, Moore, SE

“…Background The etiologic relationship between wasting and stunting is poorly understood, largely because of a lack of high-quality longitudinal data from children at risk of undernutrition. …”

The Development of Symbolic and Non-Symbolic Number Line Estimations: Three Developmental Accounts Contrasted Within Cross-Sectional and Longitudinal Data by Delphine Sasanguie, Lieven Verschaffel, Bert Reynvoet, Koen Luwel

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Multivariate longitudinal data for survival analysis of cardiovascular event prediction in young adults: insights from a comparative explainable study by Hieu T. Nguyen, Henrique D. Vasconcellos, Kimberley Keck, Jared P. Reis, Cora E. Lewis, Steven Sidney, Donald M. Lloyd-Jones, Pamela J. Schreiner, Eliseo Guallar, Colin O. Wu, João A.C. Lima, Bharath Ambale-Venkatesh

Subjects: “…Longitudinal data…”
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