Dental Statistics Made Easy

ISBN-13: 9781138469662 / Angielski / Twarda / 2017

Nigel C. Smeeton

Opis

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 further reading 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 is international, 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 undergraduate curriculum, 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 the preparation and publication of original dental research.

Spis treści

Preface Preface to the second edition Preface to the first edition Introduction Planning a study Types of study in dental research Sampling Randomised controlled trials Ethical considerations The Normal distribution Diagnostic tests Sampling variation 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 Statistical refereeing Appendix Solutions to exercises Index

O autorze

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 and Biomedical 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 postgraduate teaching 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.