Paper with Cool Method

Investigating the remuneration of health workers in the DR Congo: implications for the health workforce and the health system in a fragile setting
Maria Paola Bertone, Gregoire Lurton and Paulin Beya Mutombo
http://heapol.oxfordjournals.org/content/early/2016/01/11/heapol.czv131.abstract

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Filed under global health

Big Data Science resources

• The Oregon Health & Science University (OHSU) Department of Medical Informatics & Clinical Epidemiology (DMICE) and Library are pleased to announce the release of open educational resources (OERs) in the area of Biomedical Big Data Science. Funded by a grant from the National Institutes of Health (NIH) Big Data to Knowledge (BD2K) Program, OERs have been produced that can be downloaded, used, and repurposed for a variety of educational audiences by both learners and educators. Development of the OERs is an ongoing process, but they have reached the point where a critical mass of the content is being made available for use and to obtain feedback. The OERs are intended to be flexible and customizable and their use or repurpose is encouraged. They can be used as “out of the box” courses for students or as materials for educators to use in courses, training programs, and other learning activities. The goal is to create 32 module topics. Currently, 20 of the modules are available for download and use. For additional information, contact Bill Hersh at: hersh@ohsu.edu.

Also all on GitHub: https://github.com/OHSUBD2K/

I want to see this one: BDK32 Displaying Confidence and Uncertainty

it doesn’t exist yet, so I have to remember to check back when it does.

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Filed under dataviz

Makes sense to me

Knowing When and How to Use Medical Products
A Shared Responsibility for the FDA and CMS
http://jamanetwork.com/journals/jama/fullarticle/2580955

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Filed under science policy

Philip Stark on “Preproducibility”

A lot of sensible advice here: https://www.youtube.com/watch?v=wHryMtEBkB4

A combination of Dr. Stark’s name and the recent time I’ve spend absorbing the Marvel Comic Universe through Luke Cage [link] led to a culture insight, though. Some of my favorite superheros’ origin would have me believe that irreproducible research is shortest path to greatness. Maybe not for the (usually evil) scientist, but still.

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Ideas that did not make it into my recent Data Viz talk

D3js in any substantial way
Steve Few email list, and his example with isotype and patient risk charts
538.com viz stuff

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Autopilot off — here is something more current

The stream of content for the last week was all pre-scheduled. Here is something I wrote more recently, to my colleagues on the Diversity Committee in UW Dept. of Global Health:

From: Abraham D. Flaxman
Sent: Tuesday, November 15, 2016 12:06 PM
To: dghdiversity
Subject: Reflecting on Recent Events in American Politics

Dear DGH Diversity Committee,

It has taken a week for me to start writing a response to the recent turn in US politics. I’m barely ready to start now, but I also can’t wait to say something.

I don’t know who among us voted, or how, but in our department and in our work, it is important to remember that we don’t all have the same views. We don’t all have the same access or power, either. Many of our colleagues are not able to vote in US elections, despite how dramatically the results will affect them. This is profoundly unfair.

Many of those who are allowed to vote chose not to. My brother estimated that around 50% of voting-age citizens did not vote for Clinton or Trump last week. https://github.com/flaxter/us2016

Time will tell which of President-Elect Trump’s campaign promises were serious and which were “opening bids for negotiation”. Regardless, something is different this week. The extremist views put forth by Trump during the worst moments of this campaign have been validated by our electoral process. I hoped that when the votes were counted it would repudiate xenophobia and racism, reject sexual assault, and basically just stand up against bullying. Far from hope.

Instead, our nastiest tendencies are now elevated. It may seem that we have license to act worse towards each other than last week. As a diversity committee, department, and world, we must work to counter this. In ourselves, in our colleagues, and in our students.

Hugs,
–Abie

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Filed under Uncategorized

Robust Misunderstanding of Statistics

Interesting paper: http://www.ejwagenmakers.com/inpress/HoekstraEtAlPBR.pdf

Here is the quiz they used:
ci_survey
I’d love to replicate for a few of the target audiences for my work.

2 Comments

Filed under statistics

Diabetes by County in USA

Diagnosed and Undiagnosed Diabetes Prevalence by County in the US, 1999–2012
Authors
Laura Dwyer-Lindgren, Johan P Mackenbach, Frank J van Lenthe, Abraham D Flaxman, Ali H Mokdad
Publication date
2016/9/1
Journal
Diabetes Care
Volume
39

http://care.diabetesjournals.org/content/39/9/1556.abstract

Cool maps:
http://vizhub.healthdata.org/us-health-map/

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Filed under disease modeling, global health

DALYs averted by MSF facility

I helped with a calculation that is now published in this paper: Averted health burden over 4 years at Médecins Sans Frontières (MSF) Trauma Centre in Kunduz, Afghanistan, prior to its closure in 2015
http://www.sciencedirect.com/science/article/pii/S0039606016301994

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OHSU BD2K material on data visualization

https://github.com/OHSUBD2K/BDK18-Data-Visualization

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