How to read a paper. Statistics for the non-statistician. II: "Significant" relations and their pitfalls.
It is possible to be seriously misled by taking the statistical competence (and/or the intellectual honesty) of authors for granted. Some common errors committed (deliberately or inadvertently) by the authors of papers are given in the final box.
Greenhalgh
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Department of Primary Care and Population Sciences, University College London Medical School/Royal Free Hospital School of Medicine, Whittington Hospital. p.greenhalgh@ucl.ac.uk
D015984:Causality; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D011336:Probability; D012044:Regression Analysis; D018709:Statistics, Nonparametric