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 xxiv
... multiple options can be analyzed to develop algorithms for the treatment of single patients or to decide on programs of screening or treatment policies. Systematic analysis of situations and bringing together data from many sources ...
... multiple options can be analyzed to develop algorithms for the treatment of single patients or to decide on programs of screening or treatment policies. Systematic analysis of situations and bringing together data from many sources ...
Page xxv
... test for contingency tables, and the paradoxes that arise when tables are collapsed. The much used technique of logistic regression, including multiple logistic regression, is introduced to extend the ideas Introduction xxv.
... test for contingency tables, and the paradoxes that arise when tables are collapsed. The much used technique of logistic regression, including multiple logistic regression, is introduced to extend the ideas Introduction xxv.
Page xxvi
John C. Bailar III, Frederick Mosteller. including multiple logistic regression, is introduced to extend the ideas of regression to situations where the outcome variable (a proportion) must lie in the range from 0 to 1. Once an ...
John C. Bailar III, Frederick Mosteller. including multiple logistic regression, is introduced to extend the ideas of regression to situations where the outcome variable (a proportion) must lie in the range from 0 to 1. Once an ...
Page 11
... multiple regression. THE LIMITS OF ASSOCIATIONS An observational study with infinite data can definitely demonstrate the presence of an association between two variables, such as lung cancer and smoking, without resolving questions of ...
... multiple regression. THE LIMITS OF ASSOCIATIONS An observational study with infinite data can definitely demonstrate the presence of an association between two variables, such as lung cancer and smoking, without resolving questions of ...
Page 47
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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