Medical Statistics Made Easy

Author: Michael Harris
Publisher: Scion Pub Limited
ISBN: 9781907904035
Size: 69.23 MB
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Medical Statistics Made Easy from the Author: Michael Harris. Medical Statistics Made Easy 3e scores 99/100 and 5 stars on Doody's (Sept 2014)! Here's what the reviewer said: "This is a practical guide to the use of statistics in medical literature and their application in clinical practice. The numerous examples help make the conceptualization of complex ideas easy. It is a great resource for healthcare students and clinicians in the field." Medical Statistics Made Easy has been a perennial bestseller since it was first published in 2003 (#1 bestseller in medical statistics on Amazon). It is widely recommend on a variety of courses and programmes, from undergraduate medicine, through to professional medical qualifications. It is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject. Using a consistent format, the authors describe the most common statistical methods in turn and then rate them on how difficult they are to understand and how common they are. The worked examples that demonstrate the statistical method in action have been updated to include current articles from the medical literature and now feature a much wider range of medical journals. This new third edition continues with the same structure as the previous editions and also includes a new section on statistical process controls. From reviews of the second edition: "We would recommend this book as an introduction into medical statistics before plunging into the deep 'statistical' waters! It gives confidence to the reader in taking up the challenge of understanding statistics and [being] able to apply knowledge in analysing medical literature." Stefanie Zhao Lin Lip & Louise Murchison, Scottish Medical Journal, June 2010 "If ever there was a book that completely lived up to its title, this is it... The whole way in which the authors have written this book is commendable; the chapters are succinct, easy to follow and a pleasure to read...Is it value for money? ? a definite yes even at twice the price. Of course I never exaggerate but if you breathe, you should own this book!" Ian Pearce, Urology News, June 2010

Essential Medical Statistics

Author: Betty R. Kirkwood
Publisher: John Wiley & Sons
ISBN: 1444392840
Size: 78.78 MB
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Essential Medical Statistics from the Author: Betty R. Kirkwood. 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 statistics for doctors but there are few that are excellent and this is certainly one of them. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good as it can get. For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics." Essential Medical Statistics is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that demystifies the subject, while providing a comprehensive coverage of advanced as well as basic methods. The second edition of Essential Medical Statistics has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data. Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact. Essential Medical Statistics is supported by a web site at This useful online resource provides statistical datasets to download, as well as sample chapters and future updates.

Applied Medical Statistics Using Sas

Author: Geoff Der
Publisher: CRC Press
ISBN: 1439867984
Size: 30.68 MB
Format: PDF
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Applied Medical Statistics Using Sas from the Author: Geoff Der. 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 the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data. Features Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation Illustrates methods of randomisation that might be employed for clinical trials Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation Its breadth and depth, coupled with the inclusion of all the SAS code, make this book ideal for practitioners as well as for a graduate class in biostatistics or public health. Complete data sets, all the SAS code, and complete outputs can be found on an associated website:

Encyclopaedic Companion To Medical Statistics

Author: Brian S. Everitt
Publisher: John Wiley & Sons
ISBN: 1119957400
Size: 69.73 MB
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Encyclopaedic Companion To Medical Statistics from the Author: Brian S. Everitt. Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross–referencing signposts the reader to related entries. Key Features: Contains accounts of over 400 statistical topics central to current medical research. 80% of first edition entries updated and revised. Presents the latest techniques used at the cutting edge of medical research. Covers common errors in statistical analyses in medicine. Real examples from the biomedical literature and relevant illustrations feature throughout. Contains contributions from over 70 experts in the field. Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.

Medical Statistics From Scratch

Author: David Bowers
Publisher: John Wiley & Sons
ISBN: 1118519396
Size: 10.53 MB
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Medical Statistics From Scratch from the Author: David Bowers. Correctly understanding and using medical statistics is a key skill for all medical students and health professionals. In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the level of mathematics to a minimum, it clearly illustrates statistical concepts and practice with numerous real world examples and cases drawn from current medical literature. This fully revised and updated third edition includes new material on: missing data, random allocation and concealment of data intra-class correlation coefficient effect modification and interaction diagnostic testing and the ROC curve standardisation Medical Statistics from Scratch is an ideal learning partner for all medical students and health professionals needing an accessible introduction, or a friendly refresher, to the fundamentals of medical statistics.

Using And Understanding Medical Statistics

Author: D.E. Matthews
Publisher: Karger Medical and Scientific Publishers
ISBN: 3318054593
Size: 59.36 MB
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Using And Understanding Medical Statistics from the Author: D.E. Matthews. The fifth revised edition of this highly successful book presents the most extensive enhancement since Using and Understanding Medical Statistics was first published 30 years ago. Without question, the single greatest change has been the inclusion of source code, together with selected output, for the award-winning, open-source, statistical package known as R. This innovation has enabled the authors to de-emphasize formulae and calculations, and let software do all of the ‘heavy lifting’. This edition also introduces readers to several graphical statistical tools, such as Q-Q plots to check normality, residual plots for multiple regression models, funnel plots to detect publication bias in a meta-analysis and Bland-Altman plots for assessing agreement in clinical measurements. New examples that better serve the expository goals have been added to a half-dozen chapters. In addition, there are new sections describing exact confidence bands for the Kaplan-Meier estimator, as well as negative binomial and zero-inflated Poisson regression models for over-dispersed count data. The end result is not only an excellent introduction to medical statistics, but also an invaluable reference for every discerning reader of medical research literature.

Oxford Handbook Of Medical Statistics

Author: Janet Peacock
Publisher: Oxford University Press
ISBN: 0199551286
Size: 34.20 MB
Format: PDF, Kindle
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Oxford Handbook Of Medical Statistics from the Author: Janet 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.

Principles Of Medical Statistics

Author: Alvan R. Feinstein
Publisher: CRC Press
ISBN: 1420035681
Size: 59.82 MB
Format: PDF, Mobi
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Principles Of Medical Statistics from the Author: Alvan R. Feinstein. The get-it-over-with-quickly approach to statistics has been encouraged - and often necessitated - by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However, in later professional activities, clinicians and biomedical researchers will constantly be confronted with reports containing statistical expressions and analyses. Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get you thinking about data and statistical procedures. It covers many new statistical methods and approaches like box plots, stem and leaf plots, concepts of stability, the bootstrap, and the jackknife methods of resampling. The book is arranged in a logical sequence that advances from simple to more elaborate results. The text describes all the conventional statistical procedures, and offers reasonably rigorous accounts of many of their mathematical justifications. Although the conventional mathematical principles are given a respectful account, the book provides a distinctly clinical orientation with examples and teaching exercises drawn from real world medical phenomena. Statistical procedures are an integral part of the basic background needed by biomedical researchers, students, and clinicians. Containing much more than most elementary texts, Principles of Medical Statistics fills the gap often found in the current curriculum. It repairs the imbalance that gives so little attention to the role of statistics as a prime component of basic biomedical education.

Nonlinear Models In Medical Statistics

Author: James K. Lindsey
Publisher: Oxford University Press on Demand
ISBN: 9780198508120
Size: 12.66 MB
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Nonlinear Models In Medical Statistics from the Author: James K. Lindsey. 'This book is a great introduction to the topic of nonlinear models and is probably the only book that deals with some of the concepts. Lindsey's writing style makes easy reading and very useful reference... this book is a must for those working in early phase clinical trials, particularly in the discipline of pharmacokinetics and pharmacodynamics.' -Pharmaceutical Statistics'The book would benefit primarily those statisticians working in exploratory fields, particularly early drug development. It would also benefit those working in pharmacokinetics and pharmacodynamics.' -Pharmaceutical StatisticsThis book provides an introduction to the use of nonlinear modelling in medical statistics, including worked through examples in most areas where such techniques are used. It is suitable for both professional and academic statisticians working in medical research. The data and computer code for the examples will be available on the authors web site.

Medical Statistics And Computer Experiments

Author: Ji-Qian Fang
Publisher: World Scientific
ISBN: 9814566799
Size: 20.41 MB
Format: PDF, ePub
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Medical Statistics And Computer Experiments from the Author: Ji-Qian Fang. This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical package SAS and 100 computer experiments for the important statistical phenomena related to each chapter. All necessary data, including reference answers for the exercises, SAS programs for all computer experiments and part of the examples, and data documents for 12 medical researches are available. The Chinese version of this book has been recommended as a textbook of statistics for postgraduate program by the Office of Education Research, Ministry of Education, People's Republic of China. Contents:Basic Concepts:Descriptive StatisticsProbability and DistributionSampling Error and Confidence IntervalHypothesis Testing for Continuous VariablesChi-Square Test for Categorical VariableFurther Discussion on Hypothesis TestSingle-Factor Analysis of VarianceNonparametric Test Based on RanksSimple Linear CorrelationSimple Linear RegressionStatistical Principles for Design of Interventional StudyMulti-variate Statistics:Multiple Regression and CorrelationMeasures of Multi-variate Data and Multi-variate Analysis of VarianceDiscriminant AnalysisLogistic RegressionCluster AnalysisPrincipal Component AnalysisFactor AnalysisCanonical Correlation and Correspondence AnalysisSurvival AnalysisLog-Linear Model for Contingency Table and Poisson RegressionDesign and Analysis for Medical Research:Multi-Factor Analysis of VarianceAnalysis of Repeated Continuous-Type MeasurementsDesign and Analysis of Cross-Sectional StudiesDesign and Analysis of Prospective StudiesDesigns and Analysis of Case-Control StudiesDesign and Analysis of Diagnostic and Screening Tests Design and Analysis of Sequential ExperimentsSystematic Review of Medical Research and Meta-AnalysisComparative Effectiveness ResearchStatistical Methods in Scale DevelopmentStatistical Methods for Data from Genetic Epidemiological StudyStatistical Methods in Bioinformatics Readership: Postgraduate students and researchers in medical, public health and applied statistics. Keywords:Medical Statistics;Biostatistics;Computer Experiments;Medicine;Health Care;Public HealthKey Features:It gives basic guidance on a much broader range of statistical topics than is usually seen in books aimed at non-statisticiansIt makes the medical students and researchers feel the topic is useful and easy to learnReviews: Review of the First Edition: “It gives basic guidance on a much broader range of statistical topics than is usually seen in books aimed at non-statisticians … The 'Thinking' sections at the end of the chapters, with their solutions, also provide additional good material.” Pharmaceutical Statistics