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. |
From inside the book
Results 1-5 of 83
Page x
... Interpretation of the Randomized Controlled Trial: Survey of Two Sets of “Negative” Trials Jennie A. Freiman, Thomas C. Chalmers, Harry Smith, Jr., and Roy R. Kuebler Chapter 20 Writing about Numbers Frederick 375 SECTION V REVIEWS 357 ...
... Interpretation of the Randomized Controlled Trial: Survey of Two Sets of “Negative” Trials Jennie A. Freiman, Thomas C. Chalmers, Harry Smith, Jr., and Roy R. Kuebler Chapter 20 Writing about Numbers Frederick 375 SECTION V REVIEWS 357 ...
Page 5
... interpret the results. S tatistics rience — may usually be defined in the as a body of methods for learning from expeform of numbers from many separate measurements showing individual variations. But because many qualitative matters of ...
... interpret the results. S tatistics rience — may usually be defined in the as a body of methods for learning from expeform of numbers from many separate measurements showing individual variations. But because many qualitative matters of ...
Page 20
... interpretation may be difficult, simply because the infinite case itself could rarely, if ever, settle questions about cause and effect. Comparison of treatments in differently established groups raises thorny questions, both ...
... interpretation may be difficult, simply because the infinite case itself could rarely, if ever, settle questions about cause and effect. Comparison of treatments in differently established groups raises thorny questions, both ...
Page 23
... interpret the results, and why. DESCRIBING THE DATA ACQUISITION The operational definitions of all terms should be clear. The reader should not be left with doubts about how the subjects were selected, how they were assigned to ...
... interpret the results, and why. DESCRIBING THE DATA ACQUISITION The operational definitions of all terms should be clear. The reader should not be left with doubts about how the subjects were selected, how they were assigned to ...
Page 25
You have reached your viewing limit for this book.
You have reached your viewing limit for this book.
Other editions - View all
Common terms and phrases
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