Davis W. Campbell Knihy

Practical resources for building cohesive governance teams As a supplement to the best-selling The Governance Core, this practical guide will help trustees and superintendents adopt a governance mindset and partnership that creates coherence throughout the district. With a systems thinking approach, the authors provide readers with the strategies and tools needed to build cohesive teams and engage in deeper learning and decision making. The Taking Action Guide for the Governance Core offers readers: - a deeper understanding of core governance and how to build it - a 100-day plan to help new trustees get started - protocols and sample agendas for focusing on strategy and systems during open board meetings

"This book is aimed at anyone who needs a basic introduction to statistics in the health sciences. It is based on many years' experience teaching first year medical and health science students. Many of the examples are taken from Primary Care in the UK, which is where I worked for many years. Throughout I have tried to emphasise that Medical Statistics is not just a bag of tricks, and there are many synergies between the methods. It is now over forty years since Swinscow's original edition, and each edition reflected changes in the understanding of medical statistics. Perhaps the greatest change has occurred since the previous edition,which appeared twelve years ago.Despite the efforts of medical statisticians, there was a widespread misuse of p-values,the cornerstone of conventional statistical inference. This led some journals to ban p-values altogether. It is my view that used properly the p-value is a useful concept but this book, as in previous editions of this book, concentrates on estimation rather than just hypothesis testing. The book tries to steer the reader away from an excessive devotion to p-values, to instil a proper appreciation of their usefulness and to emphasise estimation over significance testing"-- Provided by publisher

STATISTICS AT SQUARE TWO An easy-to-follow exploration of intermediate statistical techniques used in medical research In the newly revised third edition of Statistics at Square Understanding Modern Statistical Applications in Medicine , a team of distinguished statisticians delivers an accessible and intuitive discussion of advanced statistical methods for readers and users of scientific medical literature. This will allow readers to engage critically with modern research as the authors explain the correct interpretation of results in the medical literature. The book includes two brand new chapters covering meta-analysis and time-series analysis as well as new references to the many checklists that have appeared in recent years to enable better reporting of contemporary research. Most examples have been updated as well, and each chapter contains practice exercises and answers. Readers will also find sample code (in R) for many of the analyses, in addition Perfect for anyone hoping to better understand the statistics presented in contemporary medical research, Statistics at Square Understanding Modern Statistical Applications in Medicine will also benefit postgraduate students studying statistics and medicine.