# StanConnect2021: Biomedical Statistics

**URL:** <https://discourse.datamethods.org/t/stanconnect2021-biomedical-statistics/4906>\
**Category:** general\
**Created:** [September 20, 2021, 2:13pm UTC](https://discourse.datamethods.org/t/stanconnect2021-biomedical-statistics/4906 "2021-09-20T14:13:40Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![maxbiostat](https://discourse.datamethods.org/user_avatar/discourse.datamethods.org/maxbiostat/32/1161_2.png) [@maxbiostat](https://discourse.datamethods.org/u/maxbiostat)\
**Post date:** [September 20, 2021, 2:13pm UTC](https://discourse.datamethods.org/t/stanconnect2021-biomedical-statistics/4906/1 "2021-09-20T14:13:40Z")

</div>

Dear all,

It is with great pleasure that I announce the realisation of the [Biomedical chapter](https://mc-stan.org/events/stanconnect_Biomedical/) of the StanConnect 2021 series of events.  
The goal is to bring together people working in biostatistical applications loosely related to the [Stan](https://mc-stan.org/) probabilistic programming language.

The tentatitive titles are:

- “Coding the BYM2 model for disconnected graphs in Stan or how I stopped worrying and learned to love PC priors” Mitzi Morris (Researcher), Columbia University.

- “Normalized power prior models in Stan”  
Ethan Alt (PhD student), North Carolina University (Chapel Hill).

- “Summarising enzyme information from online databases using Stan and Arviz”  
Teddy Groves (Postdoctoral researcher), Technical University of Denmark.

- “Automated kinetic modelling in Stan and its application to the methionine cycle”  
Nicholas Cowie (PhD student), Technical University of Denmark.

- “Leveraging external data in Bayesian adaptive platform designs using Stan”  
Alejandra Avalos-Pacheco (Postdoctoral researcher), Harvard Medical School.

- “A Bayesian Approach to Representing Variability in Space in Cardiac Action Potential Properties”  
Alejandro Nieto Ramos (PhD student), Rochester Institute of Technology.

and @f2harrell will be a discussant, which I think is very exciting!

I have put together a [Github repository](https://github.com/maxbiostat/StanConnect2021_Biostatistics) with talk abstracts.

The event is scheduled to take place virtually via Zoom on **19 October 2021, 10 AM-1PM EST**.  
Register [here](https://www.eventbrite.com/e/159548589125).

It’ll be great to see many of you there.

---

<div class="post-metadata">

**Author:** ![maxbiostat](https://discourse.datamethods.org/user_avatar/discourse.datamethods.org/maxbiostat/32/1161_2.png) [@maxbiostat](https://discourse.datamethods.org/u/maxbiostat)\
**Post date:** [September 23, 2021, 11:36am UTC](https://discourse.datamethods.org/t/stanconnect2021-biomedical-statistics/4906/2 "2021-09-23T11:36:14Z")

</div>

There has been a slight change: Alehandra’s talk will now be replaced by

- “Using Hidden Markov Models as a complement/alternative to survival models” by @martinmodrak (Researcher), Czech Academy of Sciences.
