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Numbers and statistical claims dominate today's news. Politics, budgets, crime analysis, medical issues, and sports reporting all demand numbers. Now in its third edition, News & Numbers focuses on how to evaluate statistical claims in science, health, medicine, and politics. It does so by helping readers answer three key questions about all scientific studies, polls, and other statistical claims: "What can I believe?" "What does it mean?" and "How can I explain it to others?" Updated throughout, this long overdue third edition brings this classic text up-to-date with the 21st century with a complete updating of examples, case studies, and stories. The text emphasises clear thinking and common sense approaches for understanding, analyzing and explaining statistics, and terms throughout the book are explained in easy-to-understand, nontechnical language. Much new material has been added to ensure the text maintains its pertinent approach to the subject, including: A section on computer modelling Additional chapters on risks and 'missing numbers' Updated sections on health plans and insurance, including updates on President Obama's health system overhaul & new material on health care costs and quality
Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Learn How to Infuse Leadership into Your Passion for Scientific Research Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women statisticians as leaders. By paying special attention to women's issues, this book provides a clear vision for the future of women as leaders in scientific and