NEW PAPER 👏👏 "Quantifying the impact of taking medicines for primary prevention: a time-trade off study to elicit direct treatment disutility in the UK" @kp170768@gbrlrgrs@athomp_HE
Please read full paper here:
https://t.co/fKAI4fL3jA
My take on Trust in Algorithms in Harvard Data Science Review: "we need to be able to assess the trustworthiness of claims made both about an algorithm, and those made by an algorithm" https://t.co/u0ctTZFyBt
NEW ARTICLE
Going to do a review of methods? You might be interested in reading our open access article. TL;DR: default search engines (e.g. Pubmed, Scopus) can be poor in retrieving articles on used methods, recovery rates may vary over time
https://t.co/03wAV8hVA4
"A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models." ML only performed better in studies with high risk of bias.
Detailed review by @GSCollins@ESteyerberg and others
https://t.co/yCYQcAqk64
Published! "Many Analysts, One Dataset: Making transparent how variations in analytical choices affect results" 65 of us led by Raphael Silberzahn demonstrate the contingencies of analytic decisions on observed outcomes. https://t.co/7dbTlFo3qa (OA: https://t.co/trwVxM8URW)