How do we stop data errors?

On my mind, due to some careful checking of results prior to submissions. Nothing substantive changed, but the numbers have to be right.

Correction
Data Errors in Results Section
JAMA. 2015;314(1):86 doi:10.1001/jama.2015.6076
Data Errors in Table 2
JAMA. 2015;314(1):86 doi:10.1001/jama.2015.6072
Data Errors in Table 3 and in Text
JAMA. 2015;314(1):86 doi:10.1001/jama.2015.6074
Incorrect Data in Table 4
JAMA. 2015;314(1):86 doi:10.1001/jama.2015.5464

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I missed SciPy 2015, what did I miss?

Hours of video available online: http://www.analyticsvidhya.com/blog/2015/07/data-science-videos-scipy-2015/

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ADVI in PyMC3

I don’t know how to use it and I don’t know if it works yet, but I’m watching the demos grow: https://github.com/pymc-devs/pymc3/blob/2250386c826e8744e13654188074dd69dad829de/pymc3/examples/advi.ipynb https://github.com/pymc-devs/pymc3/blob/01312efb319f45ec81824f7eccfea69e7b5a7ba1/pymc3/examples/GLM-hierarchical-ADVI.ipynb

I think I want some

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Uncertainty quantification by clinicians

I continue to be drawn to articles in JAMA Oncology about how we wrestle with uncertain information in life-and-death decision making:
http://oncology.jamanetwork.com/article.aspx?articleID=2398178
http://oncology.jamanetwork.com/article.aspx?articleID=2398176

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Laplace approximation in PyMC3, revisited

I found an even better example of the value of Laplace approximation, and its just a small tweak to the example I did a few weeks ago: http://nbviewer.ipython.org/gist/aflaxman/6d0a9ff2441348f3a130

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Just when I get busy, a pile of interesting NAP reports

They’ve also made it extra annoying to download them, but I won’t let that stop me:

Cross-Sector Responses to Obesity: Models for Change: Workshop Summary http://www.nap.edu/catalog/21706/cross-sector-responses-to-obesity-models-for-change-workshop-summary

Preventing Intimate Partner Violence in Uganda, Kenya, and Tanzania: Summary of a Joint Workshop by the Institute of Medicine, the National Research Council, and the Ugandan National Academy of Sciences http://www.nap.edu/catalog/21756/preventing-intimate-partner-violence-in-uganda-kenya-and-tanzania-summary

A Framework for Assessing Effects of the Food System http://www.nap.edu/catalog/18846/a-framework-for-assessing-effects-of-the-food-system

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What is the data source for the recent study involving drinking patters

From: XXX
Sent: Monday, June 29, 2015 12:15 PM
To: Laura Dwyer-Lindgren; Gillian Hansen; Abraham D. Flaxman
Subject: US County Drinking Data

Hello All,

What is the data source for the recent study involving drinking patters in US Counties from 2002-2012?!

Thanks,

Aaron

From: Abraham D. Flaxman
Sent: Tuesday, June 30, 2015 8:22 AM
Subject: RE: US County Drinking Data

Hi Aaron,

Thanks for your interest in this work. Our study is summarized here: http://www.healthdata.org/research-article/drinking-patterns-us-counties-2002-2012 and published in AJPH:
Dwyer-Lindgren L, Flaxman AD, Ng M, Hansen GM, Murray CJL, Mokdad AH. Drinking patterns in US counties from 2002 to 2012. American Journal of Public Health. 2015 April 23; e1-e8. doi:10.2105/AJPH.2014.302313. http://ajph.aphapublications.org/doi/abs/10.2105/AJPH.2014.302313
The data is from the Behavioral Risk Factor Surveillance System (BRFSS), a rolling telephone survey, which collects around 250,000 interviews a year. You can see the results for Marathon County in context in our mapping tool here: http://ihmeuw.org/3gar

I suspect that there are other people wondering this as well… with your permission, I’ll include some of this correspondence on my blog, http://healthyalgorithms.com/

–Abie

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