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With a burgeoning medical literature containing increasingly complex research designs and statistical manipulations, the practicing physician is faced with a prodigious task of interpretation and application. Fundamentally, the task is to examine the evidence for causality: which phenomena promote expression of disease and which interventions modify or prevent its trajectory. The task is far from trivial. Professor Abramson helps by carefully elucidating the many factors that impinge on correct interpretation of data.
This self-instruction manual contains gradually more difficult exercises. In accord with current pedagogic theory, questions are presented before the didactic discourse, making the reader call on his or
Making Sense of Data: A Self-Instruction Manual on the Interpretation of Epidemiological Data. Ann Intern Med. ;110:1039. doi: 10.7326/0003-4819-110-12-1039_1
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Published: Ann Intern Med. 1989;110(12):1039.
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Print ISSN: 0003-4819 | Online ISSN: 1539-3704
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