Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context.
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Here, • Pearson's r identifies the correlation coefficient as the Pearson product- moment correlation coefficient. • r is the coefficient that, here, reports a correlation of –0.62. The minus sign indicates an inverse correlation: one ...
The motivation for the book is to make the achievements in cost-effectiveness analysis accessible to health providers, who need to make optimal decisions, to the practitioners and to the students of health sciences.
Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis).
... and McLachlan GJ. (2002) Selection bias in ger the basis of microarray gene expression data. Proc. Nati. . Aronow BJ, Richardson BD, and Handwerger, S. (2001) Mic of trophoblast differentiation: gene expression reprogramn function ...
Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
" ISCB NEWSLETTER Now in its fourth edition, this book is an updated and expandedversion of a best seller in medical statistics. It is a concise,clearly written introduction to statistical terms and methods usedin medicine.
The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book.
More generally, the slope is the change in sensitivity dividedby thechange inFPR over the defined interval oftest results asin ROC curve A(Zweig and Campbell, 1993). As athird example, consider the studybyMushlin etal.
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an...
Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible.