Holding on and holding out: why some teachers resist the move toward data-driven decision making
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System dynamics of in-home family eating behavior: insights from intensive longitudinal data using Ecological Momentary Assessment and wearable sensors
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Cyberinfrastructure management for dynamic data driven applications
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Longitudinal analysis of peri-implant keratinized mucosa using computer imaging
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Examining the applications of data-driven decision making on classroom instruction
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Examining the longitudinal influence of the physical and social environments on social isolation and cognitive health: contextualizing the role of technology
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A teacher's use of data to support classroom instruction in an urban elementary school
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Social selection and influence of alcohol & marijuana implicit cognitions and behaviors: a longitudinal investigation of peer social network dynamics
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Using data for continuous improvement: a promising practice study
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Do we really understand what we are talking about? A study examining the data literacy capacities and needs of school leaders
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Deep learning models for temporal data in health care
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Bone mineral density is associated with carotid atherosclerosis in healthy postmenopausal women: a longitudinal analysis of randomized clinical trial data
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Charter schools, data use, and the 21st century: how charter schools use data to inform instruction that prepares students for the 21st century
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How districts prepare site administrators for data-driven decision making
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Imaging informatics-based electronic patient record and analysis system for multiple sclerosis research, treatment, and disease tracking
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Shrinkage methods for big and complex data analysis
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A comparison of three different sources of data in assessing the adolescent and young adults cancer survivors
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Developing and testing novel strategies to detect inattentive responding in ecological momentary assessment studies
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Longitudinal neurocognitive profiles of empirically-derived Alzheimer’s disease variants
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Understanding employees' efforts to seek change or quit: a longitudinal study of human and social service workers' cognitive and behavioral responses to their work experiences
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Efficient processing of streaming data in multi-user and multi-abstraction workflows
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Street connectivity and childhood obesity: a longitudinal, multilevel analysis
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RANSAC-based semi-supervised learning algorithms for partially labeled data, with application to neurological screening from eye-tracking data
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Modeling of Earth's ionosphere and variational approach for data assimilation
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Data-driven decision-making practices that secondary principals use to improve student achievement
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