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 xxv
... increased use of survival analysis in the clinical literature has caused us to add a discussion of the analysis of failure-time data (Chapter 14, Survival Data). Such analysis must account for the fact that not all subjects in an ...
... increased use of survival analysis in the clinical literature has caused us to add a discussion of the analysis of failure-time data (Chapter 14, Survival Data). Such analysis must account for the fact that not all subjects in an ...
Page 11
... increasing the weight of a man we will increase his girth but not his height. To establish cause and effect typically demands recourse to knowledge outside the particular study. When an experiment is carried out, treatments are imposed ...
... increasing the weight of a man we will increase his girth but not his height. To establish cause and effect typically demands recourse to knowledge outside the particular study. When an experiment is carried out, treatments are imposed ...
Page 15
... four units, then our data have a bias of +4 units. A large sample size will neither increase nor decrease this bias; with sufficiently large samples, this bias will stand out (falsely) as Section I Broad Concepts and Analytic Techniques l5.
... four units, then our data have a bias of +4 units. A large sample size will neither increase nor decrease this bias; with sufficiently large samples, this bias will stand out (falsely) as Section I Broad Concepts and Analytic Techniques l5.
Page 18
... increased the 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 ...
... increased the 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 ...
Page 29
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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