Medical Uses of StatisticsJohn C. Bailar III, Frederick Mosteller CRC Press, 2019 M05 20 - 480 pages This work explains the purpose of statistical methods in medical studies and analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in "The New England Journal of Medicine". It clarifies fundamental concepts of statistical design and analysis, and facilitates the understanding of research results. |
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Page 9
... risk that knowledge of treatment assignment or results may lead to contamination of the conclusions. INTEGRITY OF OPERATIONAL DEFINITION When we move from studies where the investigators impose treatments to those where they simply ...
... risk that knowledge of treatment assignment or results may lead to contamination of the conclusions. INTEGRITY OF OPERATIONAL DEFINITION When we move from studies where the investigators impose treatments to those where they simply ...
Page 10
... risks of side effects from prospective new drugs. If a drug is intended to treat a disease affecting mainly elderly patients, and if younger subjects are expected to be used in a clinical trial, this question should arise before the ...
... risks of side effects from prospective new drugs. If a drug is intended to treat a disease affecting mainly elderly patients, and if younger subjects are expected to be used in a clinical trial, this question should arise before the ...
Page 13
... risk per registered motorcycle in its period, but we must doubt that any of them exactly reflects that average risk. There is clearly a role for the concept of an infinite-data case in thinking about this problem. By observing ...
... risk per registered motorcycle in its period, but we must doubt that any of them exactly reflects that average risk. There is clearly a role for the concept of an infinite-data case in thinking about this problem. By observing ...
Page 18
... risk of lung cancer. (Ultimately, the increase in risk was recognized to be about 10-fold.) This example demonstrates that induction in the absence of an applicable probability model is possible, but that in those circumstances it can ...
... risk of lung cancer. (Ultimately, the increase in risk was recognized to be about 10-fold.) This example demonstrates that induction in the absence of an applicable probability model is possible, but that in those circumstances it can ...
Page 28
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analysis applied assessment assigned authors average calculated called cancer Chapter clinical trials combined comparison considered crossover decision depends described determine discussed disease drug effects Engl England Journal error estimate example expected experiment Figure findings fitted four give given groups Health hospital hypothesis important improvement included increase indicated interpretation interval issues Journal less means measurements ment meta-analysis mortality multiple myocardial infarction N Engl observed original outcome patients percent period population possible present probability problems procedures published questions randomized readers reasons reduce REFERENCES regression relation reported requires response risk sample scientific selection shows significant sometimes specific standard statistical methods subjects Table techniques therapy tion treated treatment usually variables variance Yes Yes