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Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamb

Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of o

The main message of this book is that people should be on their guard against both scare stories about risks to health, and claims for miracle cures of medical conditions. In the 21st century hardly a

"Preface according to my Penguin English dictionary, whistle-stop, used before a noun means 'consisting of brief stops in several places' and this whistle-stop tour of statistics does just that, with

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these

本書以易於理解的表達方式，介紹了超過1500個醫療統計專業術語。不使用技術的分析，也不以數學公式表達，而是以簡潔易懂的敘述來說明其內涵及意義，此種編排讓讀者在閱讀文獻時一遇到統計上的疑問，即可利用本書很快地了解所需的資訊，對非統計專業的醫護人員極有幫助。 序:醫師、健康相關學科以及生命科學研究學者、或是醫學生等專業人士，在平日工作溝通、閱讀期刊或研究相關文獻時，常會遇到一些醫學、生物統計或是流行

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical An

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity

If you use statistics and need a useful, up-to-date and reliable sourcebook that provides simple definitions and explanations of statistical concepts, especially those used in biomedicine, then you will need this 1995 dictionary. Over 2000 terms are included here; Professor Everitt has aimed to provide brief but useful descriptions of those terms frequently found in the medical and medical statistics literature. Where appropriate, graphical illustrations or numerical examples are given, and the use of mathematical formulae has been minimised. This will be an essential reference for workers in all branches of medicine, applied statistics and biostatistics, especially research workers and research oriented clinicians.

Much of the data collected in medicine and the social sciences is categorical, for example, sex, marital status, blood group, whether a smoker or not and so on, rather than interval-scaled. Frequently

For clinicians not well-versed in mathematical techniques, medical statistics can be baffling. Understanding these statistics is crucial for the interpretation of literature and the informed judgement of the use of therapies. From 'Abortion rate' to 'Zygosity determination', this accessible introduction to the terminology of medical statistics clearly describes, illustrates and explains over 1500 terms using non-technical language, and without any mathematical formulae! The majority of terms have been updated and revised for this new edition, and almost 150 new definitions have been added, ensuring readers are up to date with the latest practices. Entries are organised alphabetically, and related topics are clearly cross-referenced throughout, to provide fast, easy navigation. Further reading suggestions supplement most definitions, which allows readers to deepen their understanding of the subject. Enabling clinicians and medical students to grasp the meaning of any statistical terms t

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. T

S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. This book focuses on statistical techniques, applies them to one or more data

Built around a problem solving theme, this book extends the intermediate and advanced student's expertise to more challenging situations that involve applying statistical methods to real-world problem

About 8000 clinical trials are undertaken annually in all areas of medicine, from the treatment of acne to the prevention of cancer. Correct interpretation of the data from such trials depends largel