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Ione Fine edited this page Apr 1, 2020 · 14 revisions

Welcome to the EpidemiologyModeling wiki!

“The best thing for disturbances of the spirit is to learn. That is the only thing that never fails. You may grow old and trembling in your anatomies, you may lie awake at night listening to the disorder of your veins, you may miss your only love and lose your moneys to a monster, you may see the world about you devastated by evil lunatics, or know your honor trampled in the sewers of baser minds. There is only one thing for it then--to learn. Learn why the world wags and what wags it. That is the only thing which the poor mind can never exhaust, never alienate, never be tortured by, never fear or distrust, and never dream of regretting.” ― T.H. White, The Sword in the Stone

The idea is to take the idea that modeling is not specific to a particular domain, and apply it by looking (and implementing) some of the epidemiology models out there.

Our introductory class will begin by discussing the strengths and weaknesses of the major models out there in terms of:

data, 2. assumptions, 3. methods

We will share data repositories and approaches, and possibly divide up into 'teams' based on programming languages/approaches to examine different methods.

All are welcome - even people who aren't sensory scientists! To join the class 12-12.50 on Thursdays you will need to contact [email protected] for the zoom password (UW people have been sent it already). The other details for the zoom are below. The class will be recorded, and details of where they are stored will be posted shortly.

Class 1. There are a variety of models out there, that rely on different datasets, assumptions, and modeling techniques. In class 1 we will review this space.

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