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 xvi
... depends on a clear comprehension of the fundamental concepts of statistical design and analysis. This book is the fruit of an idea that originated in 1977, in conversations with John Bailar and Frederick Mosteller of the Department of ...
... depends on a clear comprehension of the fundamental concepts of statistical design and analysis. This book is the fruit of an idea that originated in 1977, in conversations with John Bailar and Frederick Mosteller of the Department of ...
Page xxv
... depend on whether the categories have a natural ordering (Chapter 13, Ordered Categories). When ordered categories are studied by means appropriate for unordered data, investigators may lose large amounts of information. Chapter 13 ...
... depend on whether the categories have a natural ordering (Chapter 13, Ordered Categories). When ordered categories are studied by means appropriate for unordered data, investigators may lose large amounts of information. Chapter 13 ...
Page 17
... depend for their integrity on the actual imposition of the probabilistic mechanism (e.g., a table of random numbers) whose mathematical properties then provide the inference. If two treatment groups have not been constructed as random ...
... depend for their integrity on the actual imposition of the probabilistic mechanism (e.g., a table of random numbers) whose mathematical properties then provide the inference. If two treatment groups have not been constructed as random ...
Page 18
... depends heavily on external information that may, in fact, not be available. Successfully carrying through these three steps is unlikely to be feasible; hence, valid comparison of differently treated groups is typically difficult ...
... depends heavily on external information that may, in fact, not be available. Successfully carrying through these three steps is unlikely to be feasible; hence, valid comparison of differently treated groups is typically difficult ...
Page 22
... depends on the relation between the tests false-positive rate, r, and p, the prevalence of the disease in the population. A little reflection shows that if the prevalence p is 1 in 1000 and the false-positive rate r is 1 in 100, then ...
... depends on the relation between the tests false-positive rate, r, and p, the prevalence of the disease in the population. A little reflection shows that if the prevalence p is 1 in 1000 and the false-positive rate r is 1 in 100, then ...
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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