I recently wrote in favour of internal meta-analysis, which refers to m-a that integrates evidence from two or more studies on more-or-less the same question, all coming from the same lab and perhaps reported in a single article. The post…
Introduction to the New Statistics
The online community and blog for ITNS
Year: 2018
Abandon Statistical Significance!
That’s the title of a paper accepted for publication in The American Statistician. (I confess that I added the “!”) The paper is here. Scroll down below to see the abstract. The paper boasts an interdisciplinary team of authors, including…
Open Science DownUnder: Simine Comes to Town
A week or two ago Simine Vazire was in town. Fiona Fidler organised a great Open Science jamboree to celebrate. The program is here and a few of the sets of slides are here. Simine on the credibility revolution First…
Cabbage? Open Science and cardiothoracic surgery
“The best thing about being a statistician is that you get to play in everyone’s backyard.” –a well-known quote from John Tukey. Cabbage? That’s CABG–see below. A week or so ago Lindy and I spent a very enjoyable 5 days…
Internal Meta-Analysis: Useful or Disastrous?
A recent powerful blog post (see below) against internal meta-analysis prompts me to ask the question above. (Actually, Steve Lindsay prompted me to write this post; thanks Steve.) In ITNS we say, on p. 243: “To carry out a meta-analysis…
Eating Disorders Research: Open Science and The New Statistics
I’m in Sydney, the great Manly surf beach just over the road. It’s an easy ferry ride to the Opera House and city centre. Lindy and I started this trip up from Melbourne with a few days with a cousin,…
Cochrane: Matthew Page Wins the Prize!
Years ago, Matthew Page was a student in the School of Psychological Science at La Trobe University (in Melbourne), working with Fiona Fidler and me. He somehow (!) became interested in research methods and practices, especially as related to meta-analysis.…
Draw Pictures to Improve Learning?
In ITNS we included a short section near the start describing good strategies for learning, based on empirical studies. Scattered through the book are reminders and encouragement to use the effective strategies. Now, just as we’re thinking about possible improvements…
ITNS–The Second Edition!
Routledge, our publisher, has started planning for a second edition. That’s very exciting news! The only problem is that Bob and I can’t think of anything that needs improving. Ha! But, seriously, we’d love to hear from you about things…
Open Science DownUnder — Fiona Fidler reports
Last week, the 2018 Australasian Open Science Conference was held in Brisbane at the University of Queensland: The first conference in Oz on the themes of Open Science and how to improve how science is done. They expected 40 and…
New paper out based on a massive sample (n = 355,358) finds that screens explain less than 0.4% of depression AND shows why previous research is deeply flawed - unless you are willing to believe potatoes and eyeglasses are also destroying a generation (Thread 1/13)
2New Stats blog: Sadly, Dichotomous Thinking Persists in HCI Research https://t.co/3sIxbE4Gmc
The Journal of Neuroscience has new guidelines for reporting non-human animal research. Wish it had more detail on sample-size determination, but love this: "Authors are encouraged to provide details on effect sizes and confidence intervals"
@SfNJournals
https://t.co/XOTZdmT6Kq
Artificial intelligence turns brain activity into speech | Science | AAAS https://t.co/SwZ1tZbjT2
First thing to do at #NITOP2019? Come to a workshop on how you can re-orient your stats curriculum towards estimation and Open Science:
Thursday (Jan 3), 8:30 AM, Tarpon Room
Materials are here: https://t.co/rOWx1xzeR8
@nitopconference
Anyone headed to #NITOP with family?
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