Frequentism and Bayesianism III: Confidence, Credibility, and why Frequentism and Science do not Mix [contains Python examples] jakevdp.github.io/blog/2014/06/12/frequentism-and-bayesianism-3-confidence-credibility/ https://link.springer.com/article/10.3758%2Fs13423-017-1317-5 Likelihood: https://psyarxiv.com/85ywt lin07ana: DOI: 10.1111/j.1467-9639.1993.tb00252.x Teaching Statistics 15(1):22-25 June 2007 Etz 8 steps: https://psyarxiv.com/ph6sw/ RAJ Matthews: http://rsos.royalsocietypublishing.org/content/5/1/171047 includes fair-minded skepticism https://arxiv.org/pdf/1805.11012.pdf - Fokoue https://ascpt.onlinelibrary.wiley.com/doi/abs/10.1002/cpt.2004 - Ruberg --------------------------------------- Andrew Gelman Against overly restrictive definitions https://andrewgelman.com/2014/01/16/22571/ Bayesians are frequentists https://andrewgelman.com/2018/06/17/bayesians-are-frequentists/ Replication https://andrewgelman.com/2018/07/19/idea-replication-central-not-just-scientific-practice-also-formal-statistics-frequentist-statistics-relies-reference-set-repeated-experiments-bayesian-statist/ --------------------------------------- https://socialsciences.mcmaster.ca/jfox/Books/Companion/appendices/Appendix-Bayesian.pdf http://nross626.math.yorku.ca/ICPSR/MCMC-examples.pdf ------------------------------------ From Natalia Muhlemann, Cytel 2020-07-08 RE: DIA BSWG/ADSWG Medical Outreach Meeting Natalia Muhlemann Wed 2020-07-08 15:53 Hi All As agreed during our meeting, I selected several examples of series / articles on statistical topics in medical journals. NEJM: The Changing Face of Clinical Trials – series of 19 publication https://www.nejm.org/clinical-trials-series JAMA: Guide to Statistics and Medicine - regularly publish practical educational statistical articles for clinicians https://jamanetwork.com/collections/44042/guide-to-statistics-and-medicine Nature Drug Discovery – periodic stand-along publications on the topic: Bayesian clinical trials https://www.nature.com/articles/nrd1927 Adaptive platform trials: definition, design, conduct and reporting considerations https://www.nature.com/articles/s41573-019-0034-3 An example of a recently published survey about impact of COVID-19 on oncology trials https://www.nature.com/articles/d41573-020-00093-1 Some examples from journals dedicated to therapeutics fields: Journal of American Colleague of Cardiology – state-of-art review: Making sense of statistics in clinical trial reports (series of 4 articles) https://www.onlinejacc.org/content/66/22/2536 I think medical journals are picking up on the topics of adaptive design which reflects growing interest of clinicians to the topic. Very recent example from the journal I am reading regularly (also cover Bayesian): Intensive Care Medicine, May 2020: Contemporary strategies to improve clinical trial design for critical care research: insights from the First Critical Care Clinical Trialists Workshop I think the idea of education through Bayesian analysis of a well-known completed trial is a great approach to attract clinicians’ attention to the topic. I approached Clinical trial group of European Stroke Organization and they were positive toward the idea of doing survey (I will work with them to adapt it to ESOC and get back to you), and when we discussed it they proposed to do Bayesian analysis of one of the famous stroke trials. In Intensive Care I have seen at least two Bayesian re-analysis of completed trials – examples below: ECMO trial https://www.nejm.org/doi/full/10.1056/NEJMoa1800385 And its Bayesian analysis https://jamanetwork.com/journals/jama/article-abstract/2709620 ANDROMEDA-SHOCK trial https://jamanetwork.com/journals/jama/fullarticle/2724361 And its Bayesian re-analysis https://pubmed.ncbi.nlm.nih.gov/31574228/ Thinking of our publication strategy, I enjoyed reading series when they were published - what about the idea of approaching editors to develop Bayesian series – starting with raising awareness of barriers with the survey and then coming up with more educational - practical articles?