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Gary Collins
@GSCollins
Statistician • Professor • University of Birmingham • NIHR Senior Investigator • On BlueSky: bsky.app/profile/gscoll…
Joined May 2011
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    NEW PAPER out today in @bmj_latest TRIPOD+AI: reporting recommendations for studies developing or validating prediction models for use in healthcare that use #machinelearning methods bmj.com/content/385/bm… #ArtificialIntelligence #AIstandards #OpenAccess Please share 🙏
    Screenshot of a new paper published in the BMJ "TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods"
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    "A billion-dollar donation: estimating the cost of researchers’ time spent on peer review" --> bit.ly/3wQxp5o
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    Spinning p-values in randomized controlled trials: "Analysis of 567,758 randomized controlled trials published over 30 years reveals trends in phrases used to discuss results that do not reach statistical significance" (tinyurl.com/2w9n6me6) #statstwitter
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    We have just completed & published a large set of 8 focussed reviews looking at the design/methods, reporting, risk of bias and spin/overinterpretation of #machinelearning based prediction model studies in healthcare. The findings don’t paint a good picture. A little summary 🧵
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    From a published paper. Not sure I've ever seen a ROC curve like this before! Hmmm....🤔 #bitweird #whatsgoingon
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    All 3 papers (#openaccess) now out in the @bmj_latest on the **Evaluation of clinical prediction models** part 1: tinyurl.com/3h4zfvfw part 2: tinyurl.com/ynytrpmx part 3: tinyurl.com/2cfc9uj3 #stats #MachineLearning #predictiveanalytics
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    REMINDER: A systematic review shows no performance benefit of #machinelearning over logistic regression for clinical prediction models (tinyurl.com/dnayhrms) -> "Improvements in methodology and reporting are needed" #keepitreal #dontbelievethehype #mlwtitter #statstwitter
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    We've collated many reporting guidelines for various study designs, some of the main ones are listed below. But search our database for reporting guidelines for other study designs. Good reporting is part of responsible research. equator-network.org #researchintegrity
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    👇The abridged 1-page print version now out in the #ChristmasBMJ --> tinyurl.com/yzpv2uu6 "The @bmj_latest wants to publish the gold not the mould, the frankincense not the makes-no-sense, & the myrrh not the urrgghh" longer version-> tinyurl.com/4jbe8rvr #statstwitter
    New paper in the Christmas edition of the BMJ light heartedly listing some red flags statisticians see during peer review of manuscripts in the style of the song, 12 days to Christmas
    NEW PAPER in Xmas edition of the @bmj_latest - 'On the 12th day of Christmas, a Statistician sent to me...' --> tinyurl.com/4jbe8rvr This #buckletlist paper was such fun to write, highlighting some red flags we see during peer review at the BMJ. #statstwitter #epitwitter
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    Have we now ran out of peer reviewers? Just been invited to review a paper I'm an author on - happened twice now in 2021.🙄
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    REMINDER: Professional biostatisticians go through 3-4 years of undergraduate training, then maybe a 1 year Masters degree, then maybe 3-4 years of a PhD. Biostatistics is a profession, not a hobby. #subtweet #statstwitter #medtwitter
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    …and here is a screen shot of two slides from a talk I gave a couple of years ago on the topic - I think says it all (full slides available from here bit.ly/2OKs3Sy). x.com/f2harrell/stat…
    Replying to @GSCollins
    The Royston article is in my view the best ever article on this subject. More articles here: biostat.mc.vanderbilt.edu/CatContinuous
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    Some red flags when reading a prediction model paper - no sample size calc - no mention of missing data - dichotomania - any mention of class imbalance/smote/classifier - no assessment of calibration - AUC > 0.95 - no internal validation - no model or link to code #statstwitter
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    Dichotomising continuous measurements (also known as throwing away precious information - that someone has consented for you to use) is still disappointingly common today. Many papers on this, but a good starting point is -> bit.ly/31Pwhn9 #statstwitter #epitwitter