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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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