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 xxvi
... variable (a proportion) must lie in the range from 0 to 1. Once an investigation has been executed, the results must be conveyed. Investigators may be helped by five chapters (16-20) in Section IV on reporting results. When faced with ...
... variable (a proportion) must lie in the range from 0 to 1. Once an investigation has been executed, the results must be conveyed. Investigators may be helped by five chapters (16-20) in Section IV on reporting results. When faced with ...
Page 8
... variable is to employ a standard well-known instrument for the purpose; examples include the New York Heart Association Index of Cardiac Function, the Karnofsky Scale for disability in cancer patients, and the Mini Mental State ...
... variable is to employ a standard well-known instrument for the purpose; examples include the New York Heart Association Index of Cardiac Function, the Karnofsky Scale for disability in cancer patients, and the Mini Mental State ...
Page 10
... and Einstein's famous E = me2 allow one to calculate exactly the value of one variable that must accompany the stated value of another. But in medicine and everyday life such relationships are rare; instead we see 10 i Statistical Concepts.
... and Einstein's famous E = me2 allow one to calculate exactly the value of one variable that must accompany the stated value of another. But in medicine and everyday life such relationships are rare; instead we see 10 i Statistical Concepts.
Page 11
... variables x and y, there is a well-defined single curve relating the average of one variable to stated values of the other. This idea of regression is far reaching, and has broad applicability. Generalizations to more than two variables ...
... variables x and y, there is a well-defined single curve relating the average of one variable to stated values of the other. This idea of regression is far reaching, and has broad applicability. Generalizations to more than two variables ...
Page 12
John C. Bailar III, Frederick Mosteller. CONFOUNDING VARIABLES In a study discussed earlier in this section, the time elapsed after a heart attack and the method of therapy were confounded. Two variables are said to be confounded in a ...
John C. Bailar III, Frederick Mosteller. CONFOUNDING VARIABLES In a study discussed earlier in this section, the time elapsed after a heart attack and the method of therapy were confounded. Two variables are said to be confounded in a ...
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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