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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

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

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.

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

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

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

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

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

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers th

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral s

A Proven Guide for Easily Using R to Effectively Analyze DataLike its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R

SPSS. Powerful, user-friendly, and useful, particularly in psychology, sociology, psychiatry, and other social sciences. But to fully exploit its capabilities and effectively execute its wide range o

Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical li

Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. Eac

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

One of the leading references on analyzing data using R, this third edition has been updated with much more descriptive text to support the computer code. Along with many new references, datasets, and