One of the great things about working in statistics is that you can play in other people’s backyards. After all, just about every scientific discipline uses statistics. So I enjoyed giving an invited talk at the recent annual conference of…
Introduction to the New Statistics
The online community and blog for ITNS
Month: November 2016
Toward cumulative science– the curate science database
One of the themes of the New Statistics is the importance of constantly synthesizing research results. Putting results together is a form of cumulative science, it helps us weigh all the evidence, provides more precise estimates of effect sizes, and…
“Corrupt research” – Quite a book title
I’ve just finished reading a great book: Hubbard, R. (2015). Corrupt research. Sage. I’ve just given it a five-star review on Amazon. In brief, Hubbard is highly–as in extremely highly–critical of the conventional ‘significant difference’ paradigm, centred on finding p…
What Pierre says, from Paris
Pierre Dragicevic (that’s his pic of a scary die!) is a super-interesting and enthusiastic researcher in HCI (Human-Computer Interaction) based at the Université Paris-Sud, an hour or so south of Paris. He is a researcher in the AVIZ Visual Analytics Project. He hosts…
https://science.sciencemag.org/content/367/6475/240?utm_campaign=toc_sci-mag_2020-01-16&et_rid=17172836&et_cid=3167079
“In an era when every restaurant is obliged to publish on its front door the hygiene rating in their kitchen, we're seriously not saying whether a trial that costs millions of dollars has broken the law [...] by failing to report its results?”@bengoldacre
More evidence that superstition does not strongly influence performance.
https://econtent.hogrefe.com/doi/abs/10.1024/1010-0652/a000263
Still, the idea won't die. The original study was cited 29 times last year (2019) vs. 5 cites for the replications I conducted with @Fernie103 showing negligible effect.
Sensible reporting guidelines for exp bio: show the data, make confirm vs. exploratory clear, emphasize effect size and uncertainty. Good resource.
Two colleagues and I just published an editorial/review for how to present data and stats in experimental biology journals. It explains new guidelines adopted by three American pharmacology journals.
http://molpharm.aspetjournals.org/content/molpharm/97/1/49.full.pdf
Polisci types: Beyond voting, what are the most effective things I can do towards the 2020 elections? ($ to a pac? A candidate? Volunteer to canvas? Phone bank?)
What is actually helpful?
Never cared so much before. Not asking for a friend.
(@BrendanNyhan?)
Doing more with confidence intervals. https://replicationnetwork.com/2020/01/10/doing-more-with-confidence-intervals/
New Stats blog: Bushfires and Open Science: A View From Australia https://thenewstatistics.com/itns/2020/01/09/bushfires-and-open-science-a-view-from-australia/
Cheers to the guy who made psychological science—the journal and the field—better. https://twitter.com/dstephenlindsay/status/1212063000951021573
My last day as Editor of Psych Science. Whew! Best wishes for new Editor Patricia Bauer!
New publication from our research group in @NatureHumBehav showing that meta-analyses substantially overestimate effect sizes and that commonly used methods for bias adjustment do not substantively improve results: https://www.nature.com/articles/s41562-019-0787-z
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