This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data.
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Analysis of Observational Health Care Data Using SAS This text guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, and many more applications. Full description
Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research, including retrospective claims data analyses and prospective observational studies. A SAS user for more than twenty years, he received his Ph.D. in Statistics from Oklahoma State University and his M.S. in Mathematics from Western Illinois University. Dr. Faries is a member of the American Statistical Association and the International Society of Pharmacoeconomic and Outcomes Research.
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Condition: Como nuevo. : Este libro guía a los investigadores en la realización y presentación de análisis de alta calidad de todo tipo de estudios no aleatorizados, incluyendo análisis de estudios observacionales, análisis de bases de datos de reclamaciones, evaluación de datos de registro, datos de encuestas, datos farmacoeconómicos y muchas más aplicaciones. El texto es lo suficientemente detallado como para proporcionar no solo orientación general, sino también para ayudar al investigador a través de todos los problemas estándar que surgen en dichos análisis. Se incluye la teoría suficiente para permitir al lector comprender los pros y los contras de los enfoques alternativos y cuándo usar cada método. Los numerosos colaboradores de este libro ilustran, a través de ejemplos numéricos del mundo real y código SAS, implementaciones apropiadas de métodos alternativos. El resultado final es que los investigadores aprenderán a presentar análisis transparentes y de alta calidad que conducirán a decisiones justas y objetivas a partir de datos observacionales. EAN: 9781607642275 Tipo: Libros Categoría: Tecnología|Salud y Bienestar|Ciencias Título: Analysis of Observational Health Care Data Using SAS Autor: Douglas E. Faries| Andrew C. Leon| Josep Maria Haro| Robert L. Obenchain Editorial: SAS Institute Idioma: en Páginas: 452 Formato: tapa blanda. Seller Inventory # Happ-2024-01-09-648da535
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