Presents the proceedings of two workshops on productivity measurement and analysis, which brought together representatives of statistical offices, central banks and other officials involved with the analysis and measurement of productivity at aggregate and industry levels.

Over the past few decades, US business and industry have been transformed by the advances and redundancies produced by the knowledge economy. The workplace has changed, and much of the work differs from that performed by previous generations. Can human capital accumulation in the United States keep pace with the evolving demands placed on it, and how can the workforce of tomorrow acquire the skills and competencies that are most in demand? Education, Skills, and Technical Change explores various facets of these questions and provides an overview of educational attainment in the United States and the channels through which labor force skills and education affect GDP growth. Contributors to this volume focus on a range of educational and training institutions and bring new data to bear on how we understand the role of college and vocational education and the size and nature of the skills gap. This work links a range of research areas—such as growth accounting, skill development, higher education, and immigration—and also examines how well students are being prepared for the current and future world of work.

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.