Tuesday, November 16, 2021; 8:45 AM - 10:15 AM
Section outline
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P-values and confidence intervals, Alternatives to randomized trials
Introduction and justification: why this Bayesian stuff is important and why we think you can handle it; what P-values and confidence intervals don' t mean; what they do mean; confidence intervals for negative studies and for proportions with small numerators. Alternatives to RCTs: When randomized trials are and may not be needed; instrumental variables and natural experiments; measuring additonal predictor and outcome variables to estimate bias; propensity scores.
Faculty: Thomas Newman
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Tom's 2019 Lecture on Alternatives to RCTS and P-values and CI (WATCH FOR 2020) URLUpdate for Slide 28: Vinay Prasad is in our department at UCSF now!
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Zoom Recording of Large Group 11/16/2021 Media Resource
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Goodman S 2008 Seminars Hematol Dirty Dozen P Value fallacies File
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Laptook 2017 JAMA Effect of therapeutic hypothermia after 6 hours Bayesian example File
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Quintana 2017 JAMA Bayesian analysis. Using prior information to interpret results of clinical trials File
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Browner WS, Newman TB. Are all significant P-values created equal? The analogy between diagnostic tests and clinical research. JAMA 1987;257:2459-63 File
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Goodman, S. Toward evidence-based medical statistics. 1: The P value fallacy. Annals of Internal Medicine 1999; 130: 995-1004 File
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Goodman, S. Toward evidence-based medical statistics. 2: The Bayes factor. Annals of Internal Medicine 1999; 130: 1005-1013 File
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Newman, T. If almost nothing goes wrong, is almost everything all right? JAMA 1995; 274: 1013 File
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Goodman S 2013 Circulation Are we there yet File
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Ray 2006 American Journal of Epidemiology New User DEsigns File
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Problem Set #9 (M.Laker Section) Assignment