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Integrating Data Science Ethics Into an Undergraduate Major: A Case Study
Journal of Statistics and Data Science Education, 2022 We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics ...
Benjamin S. Baumer +4 more
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scViewer: An Interactive Single-Cell Gene Expression Visualization Tool
Cells, 2023 Single-cell RNA sequencing (scRNA-seq) is an attractive technology for researchers to gain valuable insights into the cellular processes and cell type diversity present in all tissues.
Abhijeet R. Patil +3 more
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Behavior of the iterative ensemble-based variational method in nonlinear problems [PDF]
Nonlinear Processes in Geophysics, 2021 The behavior of the iterative ensemble-based data assimilation algorithm is discussed. The ensemble-based method for variational data assimilation problems, referred to as the 4D ensemble variational method (4DEnVar), is a useful tool for data ...
S. Nakano, S. Nakano
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BMC Medical Research Methodology, 2023 Objectives To have confidence in one's interpretation of treatment effects assessed by comparing trial results to external controls, minimizing bias is a critical step.
Jinma Ren +4 more
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Bayesian Joint Modeling Analysis of Longitudinal Proportional and Survival Data
Mathematics, 2023 This paper focuses on a joint model to analyze longitudinal proportional and survival data. We utilize a logit transformation on the longitudinal proportional data and employ a partially linear mixed-effect model. With this model, we estimate the unknown
Wenting Liu +3 more
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Non-Parametric Non-Inferiority Assessment in a Three-Arm Trial with Non-Ignorable Missing Data
Mathematics, 2023 A three-arm non-inferiority trial including a placebo is usually utilized to assess the non-inferiority of an experimental treatment to a reference treatment.
Wei Li, Yunqi Zhang, Niansheng Tang
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High-Dimensional Variable Selection for Quantile Regression Based on Variational Bayesian Method
Mathematics, 2023 The quantile regression model is widely used in variable relationship research of moderate sized data, due to its strong robustness and more comprehensive description of response variable characteristics.
Dengluan Dai, Anmin Tang, Jinli Ye
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Enhancing the analytic utility of clinical trial data to inform health disparities research
Contemporary Clinical Trials Communications, 2020 Clinical trials are often conducted among younger, healthier, and less racially diverse patient populations than the population at large. Health disparities for individuals with cancer are most apparent when there are notable differences in the ...
Steven B. Cohen +2 more
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BioData Mining, 2020 Background Various combinations of ultrasonographic (US) characteristics are increasingly utilized to classify thyroid nodules. But they lack theories, and heavily depend on radiologists’ experience, and cannot correctly classify thyroid nodules.
Dan Chen +5 more
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Entropy, 2022 Restricted Mean Survival Time (RMST), the average time without an event of interest until a specific time point, is a model-free, easy to interpret statistic.
Szilárd Nemes +2 more
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