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A review on longitudinal data analysis with random forest [PDF]
In longitudinal studies variables are measured repeatedly over time, leading to clustered and correlated observations. If the goal of the study is to develop prediction models, machine learning approaches such as the powerful random forest (RF) are often
Jianchang Hu, S. Szymczak
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To create a dataset which describes the care experience of children in Scotland data. To share with analysts in a safe setting to allow linkage, and provide information on the strengths and weaknesses.
Cecilia Macintyre, Gillian Raab
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Introduction Trusted Research Environments (TREs) are secure computing environments that provide access to data for approved researchers to use in studies that can save and improve lives.
Rachel Brophy+12 more
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Penalized spline estimator with multi smoothing parameters in bi-response multi-predictor nonparametric regression model for longitudinal data [PDF]
Penalized spline estimators that depend on a smoothing parameter is one type of estimator used in the estimation regression curve in nonparametric regression.
Anna Islamiyati, Fatmawati, Nur Chamidah
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Little is known about the within-person variability of different frailty instruments, their agreement over time, and whether use of repeat assessments could improve the strength of associations with adverse health outcomes.
Dani J. Kim+6 more
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Measurement in Intensive Longitudinal Data
Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM).
Daniel M. McNeish+3 more
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We explore the pattern, potential drivers, and implications of item non-response on survey questions about domestic abuse. We draw on a longitudinal representative prospective survey on children and their families in Scotland (N:3646) and use ...
Valeria Skafida+2 more
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ObjectiveTo investigate the reciprocal relationship between high school students’ academic self-efficacy and achievement in mathematics using US data from the HSLS:2009 and first follow-up longitudinal surveys, while accounting for biases in effect ...
Chris Sakellariou
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Human activities have been changing in conjunction with the status of the coronavirus disease 2019 (COVID-19) pandemic, with school closures and activity cancellations becoming commonplace. As such, the COVID-19 pandemic likely also has had a detrimental
Kota Suzuki, Michio Hiratani
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Enhanced cBioPortal features allow clinicians and researchers to effectively investigate longitudinal clinico-genomic data from patients with cancer, which will improve exploration of data from the AACR Project GENIE Biopharma Collaborative and similar ...
Ino de Bruijn+73 more
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