Category: The New Statistics

Internal Meta-Analysis: The Latest

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

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

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.

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

Precision for Planning: Great New Developments

–updated with a link from Ken Kelley to access the functions in the paper, 6/28/2018– In a new-statistics world, the best way to choose N for a study is to use precision for planning (PfP), also known as accuracy in

Effect Sizes for Open Science

For the last 20 years or so, many journals have emphasised the reporting of effect sizes. The new statistics emphasised also the reporting of CIs on those effect sizes. Now Open Science places effect sizes, CIs, and their interpretation centre

APS in San Fran 3: Workshop on Teaching the New Stats

Tamarah Smith and Bob presented a workshop on Teaching the New Stats to an almost sold-out crowd. I wasn’t there, but by all reports it went extremely well. Such a workshop seems to me a terrific way to help interested

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