Essential medical statistics
by Sterne, Jonathan A. C., Kirkwood, Betty R.
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Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book: "This is a technical book on a technical subject but presented in a delightful way. There are many books on …
An introduction to medical statistics, this book covers all the topics which a medical student or research worker is likely to encounter in routine work. It can be used for self-teaching, as a reference text and as a companion to basic courses in medical statistics.
An introduction to medical statistics, this book covers all the topics which a medical student or research worker is likely to encounter in routine work. It can be used for self-teaching, as a reference text and as a companion to basic courses in medical statistics.
MS Excel ist das am häufigsten eingesetzte Tabellenkalkulationsprogramm zur Datenverarbeitung in Tabellenform. Für statistische Analysen ist Excel allerdings weniger geeignet. Seit 2009 gibt es jedoch "RExcel" als Add-In, mit dem die Statistiksoftware R und deren menügesteuerte …
"This book focuses on the comparison, contrast, and assessment of risks on the basis of clinical investigations. It develops basic concepts as well as deriving biostatistical methods through both the application of classical mathematical statistical tools and more modern likelih…
"This book focuses on the comparison, contrast, and assessment of risks on the basis of clinical investigations. It develops basic concepts as well as deriving biostatistical methods through both the application of classical mathematical statistical tools and more modern likelih…
Thirteen contemporary medical topics are used to illustrate how modern tools of statistical thinking and statistical graphics can illuminate them. The book aims to solve some vexing problems that seem perplexing, and make the problems and their solutions clear for the general re…
"This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for an…
