Essentials Medical Statistics (Second Edition)

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 www.blackwellpublishing.com/essentialmedstats. This useful online resource provides statistical datasets to download, as well as sample chapters and future updates. Essential Medical Statistics 5 Contents 7 Preface to the second edition 9 Preface to the first edition 11 Part A: Basics 13 1 Using this book 15 2 Defining the data 21 3 Displaying the data 27 Part B: Analysis of numerical outcomes 43 4 Means, standard deviations and standard errors 45 5 The normal distribution 54 6 Confidence interval for a mean 62 7 Comparison of two means: confidence intervals, hypothesis tests and P-values 70 8 Using P-values and confidence intervals to interpret the results of statistical analyses 83 9 Comparison of means from several groups: analysis of variance 92 10 Linear regression and correlation 99 11 Multiple regression 110 12 Goodness of fit and regression diagnostics 119 13 Transformations 130 Part C: Analysis of binary outcomes 141 14 Probability, risk and odds (of disease) 143 15 Proportions and the binomial distribution 150 16 Comparing two proportions 160 17 Chi-squared tests for 2 x 2 and larger contingency tables 177 18 Controlling for confounding: stratification 189 19 Logistic regression: comparing two or more exposure groups 201 20 Logistic regression: controlling for confounding and other extensions 217 21 Matched studies 226 Part D: Longitudinal studies: Analysis of rates and survival times 237 22 Longitudinal studies, rates and the Poisson distribution 239 23 Comparing rates 252 24 Poisson regression 261 25 Standardization 275 26 Survival analysis: displaying and comparing survival patterns 284 27 Regression analysis of survival data 299 Part E: Statistical modelling 307 28 Likelihood 309 29 Regression modelling 327 30 Relaxing model assumptions 355 31 Analysis of clustered data 367 32 Systematic reviews and meta-analysis 383 33 Bayesian statistics 400 Part F: Study design, analysis and interpretation 405 34 Linking analysis to study design: summary of methods 407 35 Calculation of required sample size 425 36 Measurement error: assessment and implications 441 37 Measures of association and impact 459 38 Strategies for analysis 470 Appendix: Statistical tables A1 Areas in tail of the standard normal distribution 482 A2 Percentage points of the standard normal distribution 484 A3 Percentage points of the t distribution 485 A4 Two-sided P-values for the t distribution, according to the value of the test statistic 486 A5 Percentage points of the χ2 distribution 488 A6 Probits 489 A7 Critical values for the Wilcoxon matched pairs signed rank test 491 A8 Critical ranges for the Wilcoxon rank sum test 492 A9 Random numbers 494 Bibliography 499 Index 505

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, Medicalresearchers, 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 www.blackwellpublishing.com/essentialmedstats. This Useful Online Resource Provides Statistical Datasets To Download, As Well As Sample Chapters And Future Updates.

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 "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 (http://www.blackwellpublishing.com/essentialmedstats) www.blackwellpublishing.com/essential... . This useful online resource provides statistical datasets to download, as well as sample chapters and future updates. 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 www.blackwellpublishing.com/essentialmedstats. This useful online resource provides statistical datasets to download, as well as sample chapters and future updates. Using this book Defining the data Displaying the data Means, standard deviations and standard errors The normal distribution Confidence interval for a mean Comparison of two means: confidence intervals, hypothesis tests and P-values Using P-values and confidence intervals to interpret the results of statistical analyses Comparison of means from several groups: analysis of variance Linear regression and correlation Multiple regression Goodness of fit and regression diagnostics Transformations Probability, risks and odds (of disease) Proportions and the binomial distribution Comparing two proportions Chi-squared tests for 2 x 2 and larger contingency tables Controlling for confounding: stratification Logistic regression: comparing two or more exposure groups Logistic regression: controlling for confounding and other extensions Matched studies Longitudinal studies, rates and the Poisson distribution Comparing rates Poisson regression Standardization Survival analysis: displaying and comparing survival patterns Regressional analysis of survival data Likelihood Regression modelling Relaxing model assumptions Analysis of clustered data Systematic reviews and meta-analysis Bayesian statistics Linking analysis to study design: summary of methods Calculation of required sample size Measurement error: assessment and implications Measures of association and impact Strategies for analysis Appendix: statistical tables. 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. People usually pick up a statistics book when they have data to analyse, or when they are doing a course.