This essential textbook presents the basics of dental statistics in an accessible way, combining explanation in non-technical language with key messages, practical examples, suggestions for furtherreading and exercises complete with detailed solutions. There is an emphasis on the principles and application of statistics without the use of algebra.
The statistical material is strongly rooted in practical examples drawn from a wide range of journal articles representing both dental health care delivery and clinical dentistry. The perspective isinternational, with papers drawn from a variety of settings around the world. Many articles are recent and report contemporary developments in dental care.
The intended audience includes dental students and practitioners, those engaged in dental research and other health care professionals. For students and tutors, it covers the undergraduatecurriculum, and the exercises and solutions make it ideal for course use. For practitioners and researchers it provides the first principles of study design, accessing the dental literature, and thepreparation and publication of original dental research.
- A new chapteronevidence-baseddentistrycomplementingtheemphasisonthe dental literature.
- Manypracticalexamplesdrawnfromthe dental literature.
- A widerange of exercises (multiplechoice, short answerquestions, and longerproblems).
Preface to the second edition
Preface to the first edition
Planning a study
Types of study in dental research
Randomised controlled trials
The Normal distribution
Introduction to hypothesis tests
Comparing two means
Dealing with proportions and categorical data
Comparing several means
Regression, correlation and agreement
Non-Normally distributed data
The choice of sample size
Evidence based dentistry
Solutions to exercises
Nigel Smeeton is a Social Statistician at the Centre for Research in Primary and Community Care, University of Hertfordshire, and Visiting Lecturer in the Division of Imaging Sciences andBiomedical Engineering at King’s College London. For more than twenty years, he has taught statistics to undergraduate dental and medical students and is currently engaged in the postgraduateteaching of health service staff. His academic work has involved the application of statistical methods to research in stroke, asthma, psychiatry, and adolescent health and behaviour. He has a particular interest in non-parametric statistics, and is co-author of the text Applied Nonparametric Statistical Methods, published by CRC Press.