Updated and revised, this is a comprehensive sourcebook of reference data for health professionals involved in evaluating people with abnormal features or syndromes. It includes many graphs, tables, and charts needed by clinicians to define normal patterns of growth and provides standards of comparison for possible congenital abnormalities. Numerous "how-to" illustrations give the step-by-step guidance needed to ensure that standardized measurements are properly taken for accurate recordkeeping. Designed for ease of use, the pocket-sized book has a durable plastic cover, making it ideal for use in the ward or clinic.

This handbook provides a practical collection of reference data on a variety of physical measurements for use in the evaluation of children and adults with dysmorphic features and/or structural anomalies. Each chapter concentrates on a specific body area.

Judith G. Hall is a 2011 Fellow of The Royal Society of Canada.This specially-designed, practical, easy-to-use handbook presents reference data for health professionals, especially clinical geneticists, evaluating children and adults with abnormal features or syndromes. Using a mixture of graphs, tables, and charts, it presents information clinicians requireto define 'normal' patterns of growth for various parts of the body, and provides the standards against which to compare possible congenital abnormalities. Numerous illustrations help to explain exactly how standardized measurements should be taken to ensure accurate and comparable documentation ofgrowth patterns.

The scienti c method is based on the measurement of di erent physical qu- tities and the search for relations between their values. All measured values of physical quantities are, however, a ected by uncertainty. Understanding the origin of uncertainty, evaluating its extent, and suitably taking it into account in data analysis, are fundamental steps for assessing the global accuracy of physical laws and the degree of reliability of their technological applications. The introduction to uncertainty evaluation and data analysis procedures is generally made in laboratory courses for freshmen. During my long-lasting teaching experience, I had the feeling of some sort of gap between the ava- able tutorial textbooks, and the specialized monographs. The present work aims at lling this gap, and has been tested and modi ed through a feedback interaction with my students for several years. I have tried to maintain as much as possible a tutorial approach, that, starting from a phenomenolo- cal introduction, progressively leads to an accurate de nition of uncertainty and to some of the most common procedures of data analysis, facilitating the access to advanced monographs. This book is mainly addressed to - dergraduate students, but can be a useful reference for researchers and for secondary school teachers. The book is divided into three parts and a series of appendices. Part I is devoted to a phenomenological introduction to measurement and uncertainty. In Chap.

Problems after each chapter