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. 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.

Correctly understanding and using medical statistics is a keyskill for all medical students and health professionals. In an informal and friendly style, Medical Statistics fromScratch provides a practical foundation for everyone whosefirst interest is probably not medical statistics. Keeping thelevel of mathematics to a minimum, it clearly illustratesstatistical concepts and practice with numerous real world examplesand cases drawn from current medical literature. This fully revised and updated third edition includes new materialon: 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 learningpartner for all medical students and health professionals needingan accessible introduction, or a friendly refresher, to thefundamentals of medical statistics.

This second edition combines information from the original two books, Statistics from Scratch and Statistics Further from Scratch, to make one, comprehensive, user friendly, down-to-earth guide to elementary statistics. The book presents a detailed account of the most important procedures for the analysis of data, from the calculation of simple proportions, to a variety of statistical tests, and the use of regression models for modeling of clinical outcomes. The level of mathematics is kept to a minimum to make the material easily accessible to the novice, and a multitude of illustrative cases are included in every chapter, drown from the current research literature.

This long awaited second edition of this bestseller continues toprovide a comprehensive, user friendly, down-to-earth guide toelementary statistics. The book presents a detailed account ofthe most important procedures for the analysis of data, from thecalculation of simple proportions, to a variety of statisticaltests, and the use of regression models for modeling of clinicaloutcomes. The level of mathematics is kept to a minimum to make thematerial easily accessible to the novice, and a multitude ofillustrative cases are included in every chapter, drawn from thecurrent research literature. The new edition has beencompletely revised and updated and includes new chapters on basicquantitative methods, measuring survival, measurement scales,diagnostic testing, bayesian methods, meta-analysis and systematicreviews. "... After years of trying and failing, this is the only book onstatistics that i have managed to read and understand" - NaveedKirmani, Surgical Registrar, South London Healthcare HHS Trust,UK

The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.

It is not necessary to know how to do a statistical analysis to critically appraise a paper. However, it is necessary to have a grasp of the basics, of whether the right test has been used and how to interpret the resulting figures. Short, readable, and useful, this book provides the essential, basic information without becoming bogged down in the

Provides students and practitioners with a clear, conciseintroduction to the statistics they will come across in theirregular reading of clinical papers. Written by three experts with wide teaching and consultingexperience, Medical Statistics: A Textbook for the HealthSciences, Fourth Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretationof the statistics in papers published in medical journals From the reviews of the previous edition: "The book has several excellent features: it is written bystatisticians, is.... well presented, is well referenced.... and isshort." THE LANCET "Many statisticians are concerned at the generally poorstandard of statistics in papers published in medical journals.Perhaps this could be remedied if more research workers would sparea few hours to read through Campbell and Machin's book."BRITISH MEDICAL JOURNAL "... a simple, interesting and insightful introduction tomedical statistics... highlyrecommended." STATISTICAL METHODS IN MEDICALRESEARCH "Campbell and Machin found the golden mean... this book canbe recommended for all students and all medicalresearchers." ISCB NEWSLETTER

This textbook is intended for everyone involved in the medical profession and all others concerned with medical data. The material covered includes all the statistical work that would be required for a course in medicine.