Assessing literature
The British Medical Journal series on finding and
assessing medical articles:
Medline database
Getting your bearings (deciding what the paper is
about)
Assessing the methodological quality of published
papers
Papers that report drug trials
Papers that report diagnostic or screening tests
Papers that tell you what things cost (economic
analyses)
Papers that summarise other papers (systematic
reviews and meta-analyses
Papers that go beyond numbers (qualitative research)
Also see Evidence based medicine
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Assessing Web
resources
Critical Evaluation of Resources on the Internet
(University of Alberta)
Evaluating and Citing Websites
(University of Ottawa)
Student's Guide to Research with the WWW
(St. Louis University)
Towards quality management of medical information on
the internet: evaluation, labelling, and filtering of information
(Br Med J 1998;317:1496-1502.)
Health-related Web resources-implications for
healthcare (Br Med J 1996;312:3-4 .)
Internet Detective, a
tutorial from the University of Bristol on evaluating Web sites.
Includes interactive quizzes and free registration.
Evaluating Web resources
(American Library Association)
Evaluating Web resources
(2-Learn)
Evaluating Web resources
(Health on the Net)
Evaluating Web resources
(Widener University)
Virtual Medic (Bristol University, UK)
How
to read scientific literature - User's Guides to evidence-based
practice
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Statistics
British Medical Journal series:
Statistics for the non-statistician
Also see
correction
Statistics II: "Significant" relations and their
pitfalls
Statistics at square one
Canadian Medical Association
collection on stats & research methods
Glossary of terms
Hyperstat Online , an
online textbook by David Lane of Rice University also has many
useful links.
p values (Cohen J. The
earth is round (p<.05). American Psychologist
1994;49:997-1003)
Sample size
Introductory Statistics
(David Stockburger, Southwest Missouri State University)
Stat notes (North Carolina
State University)
Statistical significance testing
Statistical significance explained
Statistics (GraphPad - easy-to-understand
mini-tutorials on p values, outliers, etc.)
Surfstat (Keith Dear,
University of Newcastle, Australia)
Virtual lab