Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare [0.03%]
学术医疗保健中定量协作单位内加速住院医师研究
Clemontina A Davenport,Hui-Jie Lee,Quentin Ruiz-Esparza et al.
Clemontina A Davenport et al.
With increased access to biomedical and electronic health records data and the complexity of research questions, individuals in residency programs who aim to conduct research require specialized educational programs and biostatistics suppor...
Hoseung Song,Michael C Wu
Hoseung Song
Identifying how dependence relationships vary across different conditions plays a significant role in many scientific investigations. For example, it is important for the comparison of biological systems to see if relationships between geno...
Developing partnerships for academic data science consulting and collaboration units [0.03%]
开展学术数据科学咨询与合作单位的伙伴关系的发展
Marianne Huebner,Laura Bond,Felesia Stukes et al.
Marianne Huebner et al.
Data science consulting and collaboration units (DSUs) are core infrastructure for research at universities. Activities span data management, study design, data analysis, data visualization, predictive modelling, preparing reports, manuscri...
Ruiwen Zhou,J Philip Miller,Mae Gordon et al.
Ruiwen Zhou et al.
Glaucoma is a major cause of blindness and vision impairment worldwide, and visual field (VF) tests are essential for monitoring the conversion of glaucoma. While previous studies have primarily focused on using VF data at a single time poi...
What is it that you say you do here? Advocating for the critical role of data scientists in research infrastructure [0.03%]
你在这里做什么？倡导数据科学家在科研基础设施中发挥关键作用
Chasz Griego,Nicky Agate,Ana-Maria Iosif et al.
Chasz Griego et al.
Clinical and academic research continues to become more complex as our knowledge and technology advance. A substantial and growing number of specialists in biostatistics, data science, and library sciences are needed to support these resear...
Methods for building a staff workforce of quantitative scientists in academic health care [0.03%]
学术医疗中构建定量科学家员工队伍的方法
Sarah Peskoe,Emily Slade,Lacey Rende et al.
Sarah Peskoe et al.
Collaborative quantitative scientists, including biostatisticians, epidemiologists, bio-informaticists, and data-related professionals, play vital roles in research, from study design to data analysis and dissemination. It is imperative tha...
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science [0.03%]
定量研究中成功管理协作伙伴关系指南——团队科学研究的实例说明
Alyssa Platt,Tracy Truong,Mary Boulos et al.
Alyssa Platt et al.
Data-intensive research continues to expand with the goal of improving healthcare delivery, clinical decision-making, and patient outcomes. Quantitative scientists, such as biostatisticians, epidemiologists, and informaticists, are tasked w...
A Unified Approach for Outliers and Influential Data Detection - The Value of Information in Retrospect [0.03%]
统合看待离群值与影响力数据检测的信息回顾价值
Jacob Parsons,Le Bao
Jacob Parsons
Identifying influential and outlying data is important as it would guide the effective collection of future data and the proper use of existing information. We develop a unified approach for outlier detection and influence analysis. Our pro...
Accounting for extra-binomial variability with differentially expressed genetic pathway data: a collaborative bioinformatic study [0.03%]
带有额外二项变异的差异表达基因通路数据的会计学：一次协作生物信息学研究
Dillon T Aberasturi,Walter W Piegorsch,Edward J Bedrick et al.
Dillon T Aberasturi et al.
We describe a collaborative project involving faculty and students in a university bioinformatics/biostatistics center. The project focuses on identification of differentially expressed gene sets ("pathways") in subjects expressing a diseas...
Regularized Buckley-James method for right-censored outcomes with block-missing multimodal covariates [0.03%]
处理缺失的多模态协变量的带正则项的Buckley-James方法研究右删失结局
Haodong Wang,Quefeng Li,Yufeng Liu
Haodong Wang
High-dimensional data with censored outcomes of interest are prevalent in medical research. To analyze such data, the regularized Buckley-James estimator has been successfully applied to build accurate predictive models and conduct variable...