Lacey Rende
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View article: 578 A guide to successful management of data science collaborative partnerships in academic health centers
578 A guide to successful management of data science collaborative partnerships in academic health centers Open
Objectives/Goals: To design a flexible, comprehensive framework for Data Science Units to cultivate sustainable, long-term relationships with Clinical and Translational Science Research Units. Best practices for managing Data Science colla…
View article: 57 Implementation of an analytic resource navigation process at an Academic Medical Center
57 Implementation of an analytic resource navigation process at an Academic Medical Center Open
Objectives/Goals: In 2018, a novel analytic resource navigation process was developed at Duke University to connect potential collaborators, leverage resources, and foster a community of quantitative researchers and scientists. We provide …
View article: Integrating large language models in biostatistical workflows for clinical and translational research
Integrating large language models in biostatistical workflows for clinical and translational research Open
Introduction: Biostatisticians increasingly use large language models (LLMs) to enhance efficiency, yet practical guidance on responsible integration is limited. This study explores current LLM usage, challenges, and training needs to supp…
View article: A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science Open
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 …
View article: Methods for building a staff workforce of quantitative scientists in academic health care
Methods for building a staff workforce of quantitative scientists in academic health care Open
Collaborative quantitative scientists, including biostatisticians, epidemiologists, bioinformaticists, and data‐related professionals, play vital roles in research, from study design to data analysis and dissemination. It is imperative tha…