Month: March 2017

Today’s mystery word: Apophenia

I (Geoff) learned a new word today: Apophenia  It was in an article about investing and the stock-market. Apparently, there’s a whole industry devoted to identifying patterns in the price movements of stocks, then using these to guide when to

Posted in ITNS, Statistical graphics

COPE – The committee on publication ethics

Here’s a vital organization I learned about through the Sacker colloquium I attended in D.C. in March:  COPE. COPE stands for the Committee on Publication Ethics–it’s mission is to help peer-reviewed journal do right in serving their mission–how to handle

Posted in Open Science, Uncategorized

The Unspin Cycle for Science News

When science is digested into news it often ends up distorted–causal claims can be made about correlational data, hype can prevail over caution, etc.  Research shows that a lot of the fault lies with the researchers–when they summarize their research

Posted in Open Science

Another disappointing replication result, but with as happy an ending as can be…

A few years back, a paper in Science caught the eye of one of my students, Clinton Sanchez.  Clinton brought me the paper in a state of excitement–it showed 4 different experiments in which very subtle nudges meant to foster

Posted in Open Science, Replication, Uncategorized

Chance magazine

Yet another interesting resource I learned about from attending the Sackler colloquium in D.C. in early March: Chance magazine.  This is a popular-press magazine and website published by the American Statistical Society.  It’s meant to help popularize statistical applications in

Posted in Uncategorized

To Science – Inscription in the dome of the home of the National Academy of Sciences

To science: pilot of industry, conqueror of disease, multiplier of the harvest, explorer of the universe, revealer of nature’s laws, eternal guide to truth.

Posted in Uncategorized

The incredible difficulty of making sense of medical data – Sackler Colloquim on Reproducibility Field Report 2

Here’s my second update from the Sackler Colloquium on Reproducibility in Research. For me, the highlight of the first day was David Madigan, who is a statistician at Columbia. David discussed the foibles of observational medical research.  Health care systems

Posted in Uncategorized

Sackler Colloquim on Reproducibility – Field Report 1

This week I (Bob) am attending the Sackler Colloquium on Reproducibility in Research.  It’s an event put on by the National Academy of Sciences. For the blog this week I’ll be posting some of my thoughts on the discussion.  Here’s

Posted in Open Science, Replication, Uncategorized