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Statistics for Clinicians

Four articles published in the Canadian Medical Association Journal series cover Basic Statistics for clinicians:

  1. Hypothesis testing. Guyatt G, Jaeschke R, Heddle N, Cook D, Shannon H, Walter S. Canadian Medical Association Journal 1995;152:27-32. [Free Full-Text]
  2. Interpreting study results: confidence intervals. Guyatt G, Jaeschke R, Heddle N, Cook D, Shannon H, Walter S. Canadian Medical Association Journal 1995; 152: 169-173. [Free Full-Text]
  3. Assessing the effects of treatment: measures of association. Jaeschke R, Guyatt G, Shannon H, Walter S, Cook D, Heddle N. Canadian Medical Association Journal 1995; 152: 351-357. (Explains AR, ARR, RR, RRR, NNT a.k.a. Absolute Risk, Absolute Risk Reduction, Relative Risk, Relative Risk Reduction, Number Needed to Treat) [Free Full-Text]
  4. Correlation and regression. Guyatt G, Walter S, Shannon H, Cook D, Jaeschke R, Heddle N. Canadian Medical Association Journal 1995; 152: 497-504. [Free Full-Text]

Two articles published in the British Medical Journal cover 'How to read a paper':

  1. How to read a paper: Statistics for the non-statistician. I: Different types of data need different statistical tests. Greenhalgh T. Br Med J 1997; 315: 364-7. [Free Full-Text]
  2. How to read a paper: Statistics for the non-statistician. II: "Significant" relations and their pitfalls. Greenhalgh T. Br Med J 1997; 315: 422-6. [Free Full-Text]

A series in Annals of Internal Medicine covers aspects of basic medical statistics:

  1. Toward Evidence-Based Medical Statistics. 1: The P Value Fallacy. Goodman SN. Annals of Internal Medicine 1999;130:995-1004. [Free Full-Text]
  2. Toward Evidence-Based Medical Statistics. 2: The Bayes Factor. Goodman SN. Annals of Internal Medicine 1999;130:1005-1013. [Free Full-Text]
  3. Standing Statistics Right Side Up. Davidoff F. Annals of Internal Medicine 1999; 130:1019-1021. [Free Full-Text]
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