• Bayesian estimation supersedes the t test.

    Type Journal Article
    Author John K. Kruschke
    URL http://dx.doi.org/10.1037/a0029146
    Volume 142
    Issue 2
    Pages 573-603
    Publication J Exp Psych
    ISSN 1939-2222
    Date 2013-05
    Extra bibtex: kru13bay bibtex{'citeulike-article-id':'11639960','citeulike-attachment-1':'kru13bay.pdf; /pdf/user/harrelfe/article/11639960/1136836/kru13bay.pdf; dea60927efbd1f284b4132eae3461ea7ce0fb62a','citeulike-linkout-0':'http://dx.doi.org/10.1037/a0029146','citeulike-linkout-1':'http://view.ncbi.nlm.nih.gov/pubmed/22774788','citeulike-linkout-2':'http://www.hubmed.org/display.cgi?uids=22774788',day:'9',pmid:'22774788','posted-at':'2018-05-18 03:54:13',priority:'4'}
    DOI 10.1037/a0029146
    Abstract Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. The method handles outliers. The decision rule can accept the null value (unlike traditional t tests) when certainty in the estimate is high (unlike Bayesian model comparison using Bayes factors). The method also yields precise estimates of statistical power for various research goals. The software and programs are free and run on Macintosh, Windows, and Linux platforms. PsycINFO Database Record (c) 2013 APA, all rights reserved.
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • basic
    • bayes
    • bayesian-inference
    • teaching-mds
    • tutorial

  • The Substitute for p-Values

    Type Journal Article
    Author William M. Briggs
    URL http://dx.doi.org/10.1080/01621459.2017.1311264
    Volume 112
    Issue 519
    Pages 897-898
    Publication JASA
    Date 2017-07
    Extra bibtex: bri17sub bibtex{publisher:'Taylor & Francis','citeulike-article-id':'14479856','citeulike-attachment-1':'bri17sub.pdf; /pdf/user/harrelfe/article/14479856/1123078/bri17sub.pdf; e2946ca2518f20e15d607a0bccb9accb149c2c19','citeulike-linkout-0':'http://dx.doi.org/10.1080/01621459.2017.1311264','citeulike-linkout-1':'http://www.tandfonline.com/doi/abs/10.1080/01621459.2017.1311264',day:'3','posted-at':'2017-11-21 14:33:28',priority:'0'}
    DOI 10.1080/01621459.2017.1311264
    Abstract If it was not obvious before, after reading McShane and Gal, the conclusion is that p-values should be proscribed. There are no good uses for them; indeed, every use either violates frequentist theory, is fallacious, or is based on a misunderstanding. A replacement for p-values is suggested, based on predictive models.
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching-mds
    • p-values
    • teaching-statisticians

  • The Analysis of Experimental Data: The Appreciation of Tea and Wine

    Type Journal Article
    Author Dennis V. Lindley
    URL http://dx.doi.org/10.1111/j.1467-9639.1993.tb00252.x
    Volume 15
    Issue 1
    Pages 22-25
    Publication Teaching Statistics
    Date 1993-03
    Extra bibtex: lin93ana bibtex{publisher:'Blackwell Publishing Ltd','citeulike-article-id':'10418027','citeulike-attachment-1':'lin93ana.pdf; /pdf/user/harrelfe/article/10418027/1121742/lin93ana.pdf; 243d4fbea879999e1f76b707d0e2502d5aca542f','citeulike-linkout-0':'http://dx.doi.org/10.1111/j.1467-9639.1993.tb00252.x',day:'1','posted-at':'2017-10-31 12:04:19',priority:'0'}
    DOI 10.1111/j.1467-9639.1993.tb00252.x
    Abstract A classical experiment on the tasting of tea is used to show that many standard methods of analysis of the resulting data are unsatisfactory. A similar experiment with wine is used to show how a more sensible method may be developed.
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayes
    • teaching-mds
    • teaching-statisticians

  • Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications

    Type Journal Article
    Author Eric-Jan Wagenmakers
    Author Maarten Marsman
    Author Tahira Jamil
    Author Alexander Ly
    Author Josine Verhagen
    Author Jonathon Love
    Author Ravi Selker
    Author Quentin F. Gronau
    Author Martin ̌Sḿıra
    Author Sacha Epskamp
    Author Dora Matzke
    Author Jeffrey N. Rouder
    Author Richard D. Morey
    URL http://dx.doi.org/10.3758/s13423-017-1343-3
    Pages 1-23
    Date 2017
    Extra bibtex: wag17bay1 bibtex[booktitle=Psychonomic Bulletin & Review;publisher=Springer US;citeulike-article-id=14438461;citeulike-linkout-0=http://dx.doi.org/10.3758/s13423-017-1343-3;citeulike-linkout-1=http://link.springer.com/article/10.3758/s13423-017-1343-3;posted-at=2017-09-26 18:41:53;priority=0]
    DOI 10.3758/s13423-017-1343-3
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayes
    • bayesian-inference
    • excellent-for-teaching-bayesian-methods-and-explaining-the-advantages

  • Bayesian data analysis for newcomers

    Type Journal Article
    Author John K. Kruschke
    Author Torrin M. Liddell
    URL http://dx.doi.org/10.3758/s13423-017-1272-1
    Pages 1-23
    Date 2017
    Extra bibtex: kru17bay bibtex{booktitle:'Psychonomic Bulletin & Review',publisher:'Springer US','citeulike-article-id':'14379017','citeulike-attachment-1':'kru17bay.pdf; /pdf/user/harrelfe/article/14379017/1112234/kru17bay.pdf; 667a350e04440965997f085062e0249269d20ce3','citeulike-linkout-0':'http://dx.doi.org/10.3758/s13423-017-1272-1','citeulike-linkout-1':'http://link.springer.com/article/10.3758/s13423-017-1272-1','posted-at':'2017-06-19 02:27:08',priority:'0'}
    DOI 10.3758/s13423-017-1272-1
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching-mds
    • teaching

    Notes:

    • Excellent for teaching Bayesian methods and explaining the advantages

  • Statistical rethinking : a Bayesian course with examples in R and Stan

    Type Book
    Author Richard McElreath
    URL http://www.worldcat.org/isbn/9781482253443
    ISBN 978-1-4822-5344-3
    Date 2016
    Extra bibtex: mce16sta bibtex{'citeulike-article-id':'14255283','citeulike-linkout-0':'http://www.worldcat.org/isbn/9781482253443','citeulike-linkout-1':'http://books.google.com/books?vid=ISBN9781482253443','citeulike-linkout-2':'http://www.amazon.com/gp/search?keywords=9781482253443&index=books&linkCode=qs','citeulike-linkout-3':'http://www.librarything.com/isbn/9781482253443','citeulike-linkout-4':'http://www.worldcat.org/oclc/920672225','posted-at':'2017-01-15 19:24:57',priority:'4'}
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayes
    • bayesian-inference
    • teaching-mds
    • bayesian-methods

  • Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan

    Type Book
    Author John K. Kruschke
    URL http://www.sciencedirect.com/science/book/9780124058880
    Edition Second Edition
    Place Waltham MA
    Publisher Academic Press
    ISBN 978-0-12-405888-0
    Date 2015
    Extra bibtex: kru15doi bibtex[citeulike-article-id=14172337;citeulike-linkout-0=http://www.sciencedirect.com/science/book/9780124058880;posted-at=2016-10-26 21:46:24;priority=4]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayes
    • bayesian-inference
    • teaching-mds
    • bayesian-methods

  • Implementing the Bayesian paradigm: reporting research results over the World-Wide Web.

    Type Journal Article
    Author H. P. Lehmann
    Author M. R. Wachter
    URL http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2232964/
    Pages 433-437
    Publication Proceedings : a conference of the American Medical Informatics Association / ... AMIA Annual Fall Symposium. AMIA Fall Symposium
    ISSN 1091-8280
    Date 1996
    Extra bibtex: leh96imp bibtex{'citeulike-article-id':'13346740','citeulike-attachment-1':'leh96imp.pdf; /pdf/user/harrelfe/article/13346740/983544/leh96imp.pdf; b5a59f8e18230cb4ddc17759b426db8f88cb2e69','citeulike-linkout-0':'http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2232964/','citeulike-linkout-1':'http://view.ncbi.nlm.nih.gov/pubmed/8947703','citeulike-linkout-2':'http://www.hubmed.org/display.cgi?uids=8947703',pmcid:'PMC2232964',pmid:'8947703','posted-at':'2014-09-04 12:57:17',priority:'0'}
    Abstract For decades, statisticians, philosophers, medical investigators and others interested in data analysis have argued that the Bayesian paradigm is the proper approach for reporting the results of scientific analyses for use by clients and readers. To date, the methods have been too complicated for non-statisticians to use. In this paper we argue that the World-Wide Web provides the perfect environment to put the Bayesian paradigm into practice: the likelihood function of the data is parsimoniously represented on the server side, the reader uses the client to represent her prior belief, and a downloaded program (a Java applet) performs the combination. In our approach, a different applet can be used for each likelihood function, prior belief can be assessed graphically, and calculation results can be reported in a variety of ways. We present a prototype implementation, BayesApplet, for two-arm clinical trials with normally-distributed outcomes, a prominent model for clinical trials. The primary implication of this work is that publishing medical research results on the Web can take a form beyond or different from that currently used on paper, and can have a profound impact on the publication and use of research results.
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayes
    • teaching-mds
    • rct

  • Bayesian clinical trials

    Type Journal Article
    Author Donald A. Berry
    Volume 5
    Pages 27-36
    Publication Nat Rev
    Date 2006
    Extra Editorial, p. 3 bibtex: ber06bay bibtex[citeulike-article-id=13265478;posted-at=2014-07-14 14:09:57;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • teaching-mds
    • rct
    • bayesian-methods
    • review

    Notes:

    • excellent review of Bayesian approaches in clinical trials; "The greatest virtue of the traditional approach may be its extreme rigour and narrowness of focus to the experiment at hand, but a side effect of this virtue is inflexibility, which in turn limits innovation in the design and analysis of clinical trials. ... The set of `other possible results' depends on the experimental design. ... Everything that is known is taken as given and all probabilities are calculated conditionally on known values. ... in contrast to the frequentist approach, only the probabilities of the observed results matter. ... The continuous learning that is possible in the Bayesian approach enables investigators to modify trials in midcourse. ... it is possible to learn from small samples, depending on the results, ... it is possible to adapt to what is learned to enable better treatment of patients. ... subjectivity in prior distributions is explicit and open to examination (and critique) by all. ... The Bayesian approach has several advantages in drug development. One is the process of updating knowledge gradually rather than restricting revisions in study design to large, discrete steps measured in trials or phases."

  • Bayes offers a `New' way to make sense of numbers

    Type Journal Article
    Author David Malakoff
    URL http://dx.doi.org/10.1126/science.286.5444.1460
    Volume 286
    Pages 1460-1464
    Publication Science
    Date 1999
    Extra bibtex: mal99bay bibtex[citeulike-article-id=13265096;citeulike-linkout-0=http://dx.doi.org/10.1126/science.286.5444.1460;posted-at=2014-07-14 14:09:49;priority=0]
    DOI 10.1126/science.286.5444.1460
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayes
    • rct
    • teaching
    • clinical-trials

  • Bayesian statistics without tears: A sampling-resampling perspective

    Type Journal Article
    Author A. F. M. Smith
    Author A. E. Gelfand
    Volume 46
    Pages 84-88
    Publication Am Statistician
    Date 1992
    Extra bibtex: smi92bay bibtex[citeulike-article-id=13264874;posted-at=2014-07-14 14:09:44;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching
    • changing-prior
    • sampling-importance-resampling
    • weighted-bootstrap

  • The intellectual health of clinical drug evaluation

    Type Journal Article
    Author Lewis B. Sheiner
    URL http://dx.doi.org/10.1038/clpt.1991.97
    Volume 50
    Pages 4-9
    Publication Clin Pharm Ther
    Date 1991
    Extra bibtex: she91int bibtex[citeulike-article-id=13264842;citeulike-linkout-0=http://dx.doi.org/10.1038/clpt.1991.97;posted-at=2014-07-14 14:09:44;priority=0]
    DOI 10.1038/clpt.1991.97
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching-mds
    • hypothesis-testing
    • rct
    • compliance
    • statistical-significance
    • reporting
    • clinical-trials
    • review

    Notes:

    • problems with traditional statistical approaches to drug evaluation;problems with under-emphasis of type II error

  • Interpretation of subgroup analyses in medical device clinical trials

    Type Journal Article
    Author Pamela E. Scott
    Author Gregory Campbell
    Volume 32
    Pages 213-220
    Publication Drug Info J
    Date 1998
    Extra bibtex: sco98int bibtex[citeulike-article-id=13264822;posted-at=2014-07-14 14:09:42;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • shrinkage
    • teaching
    • empirical-bayes
    • subgroup-analysis
    • differential-treatment-effects

  • The statistical basis of public policy: A paradigm shift is overdue

    Type Journal Article
    Author R. J. Lilford
    Author D. Braunholtz
    Volume 313
    Pages 603-607
    Publication BMJ
    Date 1996
    Extra bibtex: lil96sta bibtex[citeulike-article-id=13264515;posted-at=2014-07-14 14:09:37;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching-mds
    • excellent-for-teaching-bayesian-methods-and-explaining-the-advantages
    • adjusting-for-study-bias-or-quality

  • Bayesian communication of research results over the World Wide Web

    Type Journal Article
    Author Harold P. Lehmann
    Author Bach Nguyen
    URL http://www.ncbi.nlm.nih.gov/pubmed/9308343
    Volume 14
    Issue 5
    Pages 353-359
    Publication M.D. Computing
    Date 1997
    Extra bibtex: leh97bay bibtex[citeulike-article-id=13264497;citeulike-linkout-0=http://www.ncbi.nlm.nih.gov/pubmed/9308343;posted-at=2014-07-14 14:09:36;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-methods
    • varying-prior-using-www
    • web-based-teaching

  • Bayesian statistical methods

    Type Journal Article
    Author Laurence Freedman
    Volume 313
    Pages 569-570
    Publication BMJ
    Date 1996
    Extra bibtex: fre96bay bibtex[citeulike-article-id=13264103;posted-at=2014-07-14 14:09:29;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching-mds

  • Tutorial in Biostatistics: Bayesian data monitoring in clinical trials

    Type Journal Article
    Author Peter M. Fayers
    Author Deborah Ashby
    Author Mahesh K. Parmar
    Volume 16
    Pages 1413-1430
    Publication Stat Med
    Date 1997
    Extra bibtex: fay97bay bibtex[citeulike-article-id=13264065;posted-at=2014-07-14 14:09:28;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • rct
    • study-design
    • sequential-monitoring
    • choice-of-prior-distribution
    • convincing-clinicians-to-alter-medical-practice
    • skeptical-prior
    • teaching-paper

  • Bayesian statistical methods in public health and medicine

    Type Journal Article
    Author R. D. Etzioni
    Author J. B. Kadane
    Volume 16
    Pages 23-41
    Publication Ann Rev Pub Hlth
    Date 1995
    Extra bibtex: etz95bay bibtex[citeulike-article-id=13264055;posted-at=2014-07-14 14:09:28;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching

  • Explaining the Gibbs sampler

    Type Journal Article
    Author George Casella
    Author Edward I. George
    Volume 46
    Pages 167-174
    Publication Am Statistician
    Date 1992
    Extra bibtex: cas92exp bibtex[citeulike-article-id=13263865;posted-at=2014-07-14 14:09:24;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching
    • data-augmentation
    • gibbs-sampler
    • markov-chain
    • monte-carlo
    • resampling

  • Teaching elementary Bayesian statistics with real applications in science

    Type Journal Article
    Author Donald A. Berry
    Volume 51
    Pages 241-246
    Publication Am Statistician
    Date 1997
    Extra bibtex: ber97tea bibtex[citeulike-article-id=13263759;posted-at=2014-07-14 14:09:22;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching
    • scientific-approach

  • Teaching Bayesian statistics using sampling methods and MINITAB

    Type Journal Article
    Author James H. Albert
    Volume 47
    Pages 182-191
    Publication Am Statistician
    Date 1993
    Extra bibtex: alb93tea bibtex[citeulike-article-id=13263681;posted-at=2014-07-14 14:09:21;priority=0]
    Date Added 7/7/2018, 1:38:33 PM
    Modified 7/7/2018, 1:38:33 PM

    Tags:

    • bayesian-inference
    • teaching
    • sampling-importance-resampling
    • weighted-bootstrap