We are excited to announce a new public course debuting at PAGE 2018. Shiny
for Pharmacometrics is an accelerated course that build on the modern R
course to leverage shiny to develop tools and applications to support
pharmacometric activities. This course has been taught privately with great
success, and it is now time to bring it to everyone!
Participants will learn to build tools to support automated tasks such as
generating dynamic reports, monitoring modeling and simulation activities,
and extending Rstudio. They will also construct applications such as
interactive decision-support dashboards for clinical trial simulations.
Overall *8 shiny apps will be built and another 10 example apps and code
will be provided for later study - 18 apps worth of code!*
Using shiny is only as effective as the foundational programming skills in
R one has. As such,* all participants will be given free access to all
course material and additional video lectures and solutions to the modern R*
*course taught over the past two years. *The shiny course will build on
the techniques and packages taught in modern R - namely dplyr, tidyr, purrr
and other tidyverse packages, so on top of learning shiny, participants
will also have opportunities to flex their new-found learnings and get
additional hands on practice.
*If you are interested we would love to hear from you. The final decision
as to whether the course will be 2 or 2.5 day course has not yet been made.
If you have thoughts and would consider attending please reach out to *
[email protected] or [email protected]
The course syllabus and sign up information material will follow in the
next month.
We look forward to hearing from you.
Happy New Year,
Devin
Shiny for Pharmacometrics Workshop PAGE 2018
Hey, I would consider attending. I have no particular thoughts to share.
This year, I think I may wind up leading an initiative to develop a Shiny
App for data exploration (e.g. Dose-PK, Dose-PD, PKPD, with continuous,
binary, etc.). My vision is that we'd start small and gradually grow. So a
course like this seems great.
For me, what might be most useful is just a whirlwind tour of all kinds of
cool things people can do with Shiny, and then an introduction into some of
the most important tools and packages. And a little bit of hands on work,
too.
Andy
Quoted reply history
On Mon, Jan 15, 2018 at 12:10 PM Devin Pastoor <[email protected]>
wrote:
> We are excited to announce a new public course debuting at PAGE 2018.
> Shiny for Pharmacometrics is an accelerated course that build on the modern
> R course to leverage shiny to develop tools and applications to support
> pharmacometric activities. This course has been taught privately with great
> success, and it is now time to bring it to everyone!
>
> Participants will learn to build tools to support automated tasks such as
> generating dynamic reports, monitoring modeling and simulation activities,
> and extending Rstudio. They will also construct applications such as
> interactive decision-support dashboards for clinical trial simulations.
> Overall *8 shiny apps will be built and another 10 example apps and code
> will be provided for later study - 18 apps worth of code!*
>
> Using shiny is only as effective as the foundational programming skills in
> R one has. As such,* all participants will be given free access to all
> course material and additional video lectures and solutions to the modern R*
> *course taught over the past two years. *The shiny course will build on
> the techniques and packages taught in modern R - namely dplyr, tidyr, purrr
> and other tidyverse packages, so on top of learning shiny, participants
> will also have opportunities to flex their new-found learnings and get
> additional hands on practice.
>
> *If you are interested we would love to hear from you. The final decision
> as to whether the course will be 2 or 2.5 day course has not yet been made.
> If you have thoughts and would consider attending please reach out to *
> [email protected] or [email protected]
>
> The course syllabus and sign up information material will follow in the
> next month.
>
> We look forward to hearing from you.
>
> Happy New Year,
>
> Devin
>
>
>