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@NCIJBSloan 2 years ago
#WomeninSTEM! Don’t overlook the opportunities in the #DataScience field. Whatever your interests—molecular biology, genetics, epidemiology, clinical, medications development, computer technology—this field has a place for you. Read my blog to learn more! https://datascience.cancer.gov/news-events/blog/women-data-science-interview-dr-jill-barnholtz-sloan https://t.co/eX8flLhFhr
@odsc 4 years ago
Interrupted time series contains a strong inferential power and has wide applications in epidemiology, medication research, and program evaluations in general. Let's get started. #DataScience #TimeSeries https://hubs.ly/H0m-xY10
@SwissCognitive 5 years ago
From diagnosis and #pathology to #DrugDiscovery and epidemiology, #healthcare’s reliance on large amounts of #data makes it one of the most exciting frontiers of #ArtificialIntelligence. #MedicalTechnology #Technology #BigData http://ow.ly/EOm830nHZpB
@LauraBBalzer 5 years ago
What is your favorite resource on #DataScience as it relates to your work (#epidemiology, #medicine, #stats)? I'm a fan of @_MiguelHernan & co: "Data science is science's second chance to get causal inference right: A classification of data science tasks" https://arxiv.org/abs/1804.10846