Data science in clinical and translational research: Improving the health of the data to knowledge pipeline-Reference-Cited by-同舟云学术

Data science in clinical and translational research: Improving the health of the data to knowledge pipeline

Published:2021 Issue:1 Volume:5 Page:
ISSN:2059-8661
Container-title:Journal of Clinical and Translational Science
language:en
Short-container-title:J. Clin. Trans. Sci.

Author:

Lindsell Christopher J.^ORCID,Pomann Gina-Maria,Oster Robert A.^ORCID,Mooney Sean D.^ORCID,Enders Felicity T.

Publisher

Cambridge University Press (CUP)

Subject

General Medicine

Reference5 articles.

1. Eight practices for data management to enable team data science

2. Lessons and tips for designing a machine learning study using EHR data;Arbet;Journal of Clinical and Translational Science,2020

3. Comparison of regression imputation methods of baseline covariates that predict survival outcomes;Solomon;Journal of Clinical and Translational Science,2020

4. Learning gaps among statistical competencies for clinical and translational science learners;Oster;Journal of Clinical and Translational Science,2020

5. Methods for training collaborative biostatisticians;Pomann;Journal of Clinical and Translational Science,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Methods for building a staff workforce of quantitative scientists in academic health care;Stat;2024-05-05

2. Needles in a Haystack: Finding Qualitative and Quantitative Collaborators in Academic Medical Centers;Academic Medicine;2023-03-17

3. Machine Learning Data Pipeline for the Democratization of AI;Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care;2023-03

4. Essential team science skills for biostatisticians on collaborative research teams;Journal of Clinical and Translational Science;2023