Dear friends in causality research,
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\nThis Spring Greeting from UCLA Causality blog\u00a0contains:
\nA. News items concerning causality research,
\nB. New postings, new problems and some solutions.
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A1. A2. A3. Causal Inference — A Primer The errata page was updated recently under the diligent\u00a0eye of Adamo Vincenzo. Thank you Adamo!<\/p>\n The Solution Manual will be available for instructors\u00a0and will incorporate software solutions based on a DAGitty R package,\u00a0authored by Johannes Textor.\u00a0 See http:\/\/dagitty.net\/primer\/<\/a><\/p>\n A4. As always, submissions are welcome on all aspects\u00a0of causal analysis, especially those deemed foundational.\u00a0Chances of acceptance are inversely proportional to\u00a0the time it takes a reviewer to figure out what problem\u00a0the paper attempts to solve. So, please be transparent.<\/p>\n B1. On May 21, Kosuke Imai and I participated in a panel on Mediation,\u00a0at the annual meeting of the West Coast Experiment\u00a0Conference, organized by Stanford Graduate School of\u00a0Business.\u00a0http:\/\/www.gsb.stanford.edu\/ B2. Generalizing Experimental findings B3. Causality celebrates its 10,000 citations On a personal note: I am extremely gratified\u00a0by this sign of receptiveness, and I\u00a0thank readers of Causality for their comments,\u00a0questions, corrections and reservations which have\u00a0helped bring this book to its\u00a0current shape (see http:\/\/bayes.ca.ucla.edu\/BOOK- Cheers, Dear friends in causality research, ———————————— This Spring Greeting from UCLA Causality blog\u00a0contains: A. News items concerning causality research, B. New postings, new problems and some solutions. ———————————— A1. The American Statistical Association (ASA) has announced\u00a0recipients of the 2016 “Causality in Statistics Education Award”. http:\/\/www.amstat.org\/newsroom\/pressreleases\/05162016_Causality_Award.pdf Congratulations go to Onyebuchi Arah and Arvid Sjolander\u00a0who will receive […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-1641","post","type-post","status-publish","format-standard","hentry","category-announcement"],"_links":{"self":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/1641","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/comments?post=1641"}],"version-history":[{"count":14,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/1641\/revisions"}],"predecessor-version":[{"id":1655,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/posts\/1641\/revisions\/1655"}],"wp:attachment":[{"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/media?parent=1641"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/categories?post=1641"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/causality.cs.ucla.edu\/blog\/index.php\/wp-json\/wp\/v2\/tags?post=1641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nThe American Statistical Association (ASA) has announced\u00a0recipients of the 2016 “Causality in Statistics Education Award”.
\nhttp:\/\/www.amstat.org\/
\nCongratulations go to Onyebuchi Arah and Arvid Sjolander\u00a0who will receive this Award in July, at the 2016 JSM meeting\u00a0in Chicago.
\nFor details of purpose and selection criteria, see\u00a0http:\/\/www.amstat.org\/
\nI will be giving another tutorial at the 2016 JSM meeting,\u00a0titled “Causal Inference in Statistics: A Gentle Introduction.”
\nDetails and Abstract can be viewed here:\u00a0https:\/\/www.amstat.org\/
\nFor the many readers who have inquired, the print version\u00a0of our new book “Causal Inference in Statistics – A Primer”\u00a0is now up and running on Amazon and Wiley, and is\u00a0awaiting your reviews, your questions and suggestions.\u00a0We have posted a book page for this very purpose\u00a0http:\/\/bayes.cs.ucla.edu\/
\nVol. 4 Issue 2 of the Journal of Causal Inference (JCI) is\u00a0scheduled to appear in September 2018. The current issue\u00a0can be viewed here:\u00a0http:\/\/www.degruyter.com\/view\/
\nRecollections from the WCE conference at Stanford.<\/p>\n
\n<\/a>
\nSome of my recollections are summarized on our Causality\u00a0Blog here:\u00a0http:\/\/causality.cs.ucla.edu\/
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\nIn light of new results concerning generalizability\u00a0and selection bias, our team has updated the\u00a0“external validity” entry of wikipedia.\u00a0Previously, the entry was all about threats to validity,\u00a0with no word on how those threats can be circumvented.\u00a0You may wish to check this\u00a0entry for accuracy and possible extensions.<\/p>\n
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\nAccording to Google Scholar,\u00a0https:\/\/scholar.google.com\/
\nJudea<\/p>\n","protected":false},"excerpt":{"rendered":"