Here is a careful recap of the journalistic coverage of Iraq mortality estimation

> Some scientists think that’s what’s really needed: for journalists to simply learn more about statistics in order to better weigh the validity of new studies as they report on them.

http://www.cjr.org/criticism/iraq_body_count.php

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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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