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[farmshare-discuss] R workshop: Friday, 9 June, Alway Building - please RSVP
chekh at stanford.edu
Fri Jun 2 12:23:35 PDT 2017
stripped-text: Please announce to relevant communities.
------------------------------ From Prof Daniel Ruben -------------
We would like to invite you to participate in the upcoming workshop on
introducing data science and advanced statistical modeling into the
daily decision processes of clinical operations. Please click on the
following link by Friday, 2 June, to let us know whether you will attend.
Follow this link to let us know whether you will attend:
Or copy and paste the URL below into your internet browser:
As precision medicine progresses, algorithms and models developed by
Stanford statisticians and data scientists can be packaged in
reproducible workflows and shared via interactive reports that would be
accessible to clinical decision makers. Software tools based on the open
source R language now exist, and are partially in place, to enable
predictive analytics to inform clinical operations at the Stanford
hospitals on a daily basis. In this workshop, we will describe the
concepts and the tools underlying an R-based predictive analytics system
and discuss how it could be deployed to solve research, analytical,
informatics, and operational problems in the Stanford School of Medicine
and Stanford hospitals.
The workshop will be held on Friday, 9 June, from 8:00 AM until 12:00 PM
in Room M112, Alway
* 8:00 - Registration and networking
* 9:00 - Balasubramanian Narasimhan: Introductions and Kickoff
* 9:15 - Robert Tibshirani: "Integrating Data Science into Hospital
* Prof. Tibshirani will present a new forecasting model he has
developed with Drs. Sourabh Gombar and Tho Pham, and his graduate
students, for predicting blood supply and describe what a
data-science-based clinical decision workflow might look like.
* 10:00 - Phil Bowsher: "An Overview of RStudio Products."
* Over several years, RStudio has developed a "tool chain" of
software to support the development, deployment and sharing of
statistical models implemented in the R Language. Phil will provide an
overview of the RStudio tool chain stressing the built in capabilities
to support reproducible research and reliable information sharing.
* 10:30 - Coffee
* 10:45 - Sean Lopp: "A Close Look At Shiny."
* RStudio's Shiny reactive programming system has become the
standard for developing and deploying interactive R applications and
statistical models. Sean will provide a peak under the covers and show
examples of Shiny in action.
* 11:15 - General Discussion
* We hope to facilitate a group discussion on the practical
issues required to make the vision of data science informed clinical
operations a reality.
Alex Chekholko chekh at stanford.edu 347-401-4860
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