I wonder why the concept of probability is retired prematurely from your list (i.e listed under TOPICS to AVOID??)? This is the foundation of any sensible diagnostic medical reasoning

 

Nik  Vancouver,

 

From: Evidence based health (EBH) [mailto:[log in to unmask]] On Behalf Of Dahm,Philipp
Sent: Monday, July 29, 2013 6:15 AM
To: [log in to unmask]
Subject: Re: EBM and Stats FOLLOW UP

 

Thank you, Robert. It is one of the great aspects of this listserves that you not only get to comment and contribute but then you and others have been very good about sharing the outcomes with the group.

 

Ph*

 

 

From: Evidence based health (EBH) [[log in to unmask]] on behalf of Weyant, Robert J [[log in to unmask]]
Sent: Monday, July 29, 2013 7:58 AM
To: [log in to unmask]
Subject: EBM and Stats FOLLOW UP

A while back I requested information from list members on what would constitute a good "minimum" set of statistical concepts for an EBHC course.  Many people responded and I wish to thank them for their helpful replies.  Below is a summary (quickly assembled) of these replies.  Perhaps others will find it useful

 

 

Best Wishes,

Bob

 

Statistical Concepts to include in EBHC course

Level of Endorsement

Variable Types (nominal, ordinal, ratio)

+

Descriptive stats (mean, median, mode)

++

Inferential states  (concepts, examples, but no formula)

++

Type I and II errors

+

Frequency Distributions

+

P-value

++

Confidence interval

++

Measures of association (OR, RR) (relative risk vs. absolute risk)

++

Diagnostic Accuracy (Sn, Sp, PV, ROC)

++

Clinical Stats (NNT, OR, Effect Size)

++

Clinical Stats (EER, CER, ARR)

+

Samples and Populations [Sampling (SRS)]

+

Sample Size and Power

+

Correlation

+

Survival Curves

+

Prevalence and Incidence

++

Forest Plots

++

Qualitative Research

+

 

 

TOPICS TO AVOID

t-test

ANOVA

Non-parametric tests

The Normal Distribution

Probability Concepts

One person suggested that formula-intense topics such as these should be avoided, as they put off learners from understanding “concepts”

+     At least one person endorsed teaching this concept.

++  Most people who commented endorsed teaching this concept.

 

 

Useful Links

 

http://blogs.bmj.com/adc/category/stats/

 

http://www.isehc.net/

 

http://mclibrary.duke.edu/sites/mclibrary.duke.edu/files/public/guides/nnt.doc

 

http://www.naturalstandard.com/html/continuingeducation/clinicaltrialscourse_4-05.pdf

 

http://www.scribd.com/doc/145527417/How-to-Teach-Statistics-to-higher-education-students-a-reflection-paper


 http://www.cebm.net/index.aspx?o=1083

 

http://www.cebm.net/index.aspx?o=2291

 

http://www.youtube.com/user/cebmed

 

http://www.cebm.net/index.aspx?o=1023 

 

http://www.youtube.com/user/EQUATORNetwork/videos

 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2324134/

 

http://norris.usc.libguides.com/ebm

 

http://www.usc.edu/ebnet

 

http://www.elsevierhealth.com.au/health-professions-general-/evidence-based-practice-across-the-health-professions-paperbound/9780729541350/

 

Books

·      Perera R et al – Statistics Toolkit : excellent primer, easy to decipher

·      Heneghan C et al Evidence-based medicine toolkit: (my all time favorite, unflattering: excellent, easy to read, all you need to know to use statistics for critical appraisal)

·      Kirkwood Sterne Essential Medical Statistics (from easy to advanced, but do-able and with good examples, not an easy reading)

·      Altman D Statistics for Medical Research (excellent and easy to read, a bit old, but a new edition is forthcoming )

·      "The Tiger that isn't" by Michael Blastland and Andrew Dilnot.

·      What is a p-value anyway? 34 stories to help you actually understand statistics (Andrew Vickers)

·      The essential guide to effect sizes: Statistical power, meta-analysis, and the interpretation of research results (Paul Ellis)

·      Patten ML. Understanding Research Methods: An Overview of the Essentials (Seventh Edition).  Los Angeles, Pyrczak Publishers 2009.

·      Manolio T. Design and Conduct of Observational Studies and Clinical Trials. In: Gallin J, editor. Principles and Practice of Clinical Research. Academic Press, Elsevier, 2002: 187-206. (In syllabus)

·      Guide to Research Methods, http://library.downstate.edu/EBM2/contents.htm

·      The Evidence Pyramid and Research Designs – http://library.downstate.edu/EBM2/2100.htm

·      PubMed Health: Clinical effectiveness; benefits and harms. http://www.ncbi.nlm.nih.gov/pubmedhealth/

 

 

 

 

_____________________________

Robert J. Weyant, DMD, DrPH
Professor and Chair
Department of Dental Public Health
346 Salk, School of  Dental Medicine
University of  Pittsburgh
Pittsburgh PA 15261

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