Dear friends in causality research,
This Spring Greeting from UCLA Causality blog contains:
A. News items concerning causality research,
B. New postings, new problems and some solutions.
The American Statistical Association (ASA) has announced recipients of the 2016 “Causality in Statistics Education Award”.
Congratulations go to Onyebuchi Arah and Arvid Sjolander who will receive this Award in July, at the 2016 JSM meeting in Chicago.
For details of purpose and selection criteria, see http://www.amstat.org/
I will be giving another tutorial at the 2016 JSM meeting, titled “Causal Inference in Statistics: A Gentle Introduction.”
Details and Abstract can be viewed here: https://www.amstat.org/
A3. Causal Inference — A Primer
For the many readers who have inquired, the print version of our new book “Causal Inference in Statistics – A Primer” is now up and running on Amazon and Wiley, and is awaiting your reviews, your questions and suggestions. We have posted a book page for this very purpose http://bayes.cs.ucla.edu/
The errata page was updated recently under the diligent eye of Adamo Vincenzo. Thank you Adamo!
The Solution Manual will be available for instructors and will incorporate software solutions based on a DAGitty R package, authored by Johannes Textor. See http://dagitty.net/primer/
Vol. 4 Issue 2 of the Journal of Causal Inference (JCI) is scheduled to appear in September 2018. The current issue can be viewed here: http://www.degruyter.com/view/
As always, submissions are welcome on all aspects of causal analysis, especially those deemed foundational. Chances of acceptance are inversely proportional to the time it takes a reviewer to figure out what problem the paper attempts to solve. So, please be transparent.
Recollections from the WCE conference at Stanford.
On May 21, Kosuke Imai and I participated in a panel on Mediation, at the annual meeting of the West Coast Experiment Conference, organized by Stanford Graduate School of Business. http://www.gsb.stanford.edu/
Some of my recollections are summarized on our Causality Blog here: http://causality.cs.ucla.edu/
B2. Generalizing Experimental findings
In light of new results concerning generalizability and selection bias, our team has updated the “external validity” entry of wikipedia. Previously, the entry was all about threats to validity, with no word on how those threats can be circumvented. You may wish to check this entry for accuracy and possible extensions.
B3. Causality celebrates its 10,000 citations
According to Google Scholar, https://scholar.google.com/
On a personal note: I am extremely gratified by this sign of receptiveness, and I thank readers of Causality for their comments, questions, corrections and reservations which have helped bring this book to its current shape (see http://bayes.ca.ucla.edu/BOOK-