Statistics in Medicine

This book PDF is perfect for those who love Mathematics genre, written by Robert H. Riffenburgh and published by Academic Press which was released on 29 November 2022 with total hardcover pages 680. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Statistics in Medicine books below.

 Author : Robert H. Riffenburgh File Size : 51,7 Mb Publisher : Academic Press Language : English Release Date : 29 November 2022 ISBN : UOM:39015062432235 Pages : 680 pages

Statistics in Medicine by Robert H. Riffenburgh Book PDF Summary

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. Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises Two-part design features course material and a professional reference section Chapter summaries provide a review of formulas, method algorithms, and check lists Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods New in this Edition: New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions Updated database coverage and additional exercises Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression Thorough discussion on required sample size

Statistics in Medicine by Robert H. Riffenburgh

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

Statistics in Medicine by Robert H. Riffenburgh

Covering 30% of statistical methods used for 90% of medical studies, this student textbook begins with mathematics and explains the basic concepts and most frequently used procedures in biostatistics that are ommitted in many other volumes.

Practical Statistics for Medical Research by Douglas G. Altman

Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are

How to Report Statistics in Medicine by Thomas Allen Lang,Michelle Secic

How to Report Statistics in Medicine presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research. Containing elements of a reference book, a style manual, a dictionary, an encyclopedia, and a text book, it is the standard

Design and Analysis of DNA Microarray Investigations by Richard M. Simon,Edward L. Korn,Lisa M. McShane,Michael D. Radmacher,George W. Wright,Yingdong Zhao

The analysis of gene expression profile data from DNA micorarray studies are discussed in this book. It provides a review of available methods and presents it in a manner that is intelligible to biologists. It offers an understanding of the design and analysis of experiments utilizing microarrays to benefit scientists.

Medical Statistics by Stephen J. Walters,Michael J. Campbell,David Machin

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. Yet it retains its central philosophy to explain medical statistics with as little technical detail as possible, making it

Oxford Handbook of Medical Statistics by Janet Peacock,Philip Peacock

The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Medical Uses of Statistics by John C. Bailar III,Frederick Mosteller

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.