Applied missing data analysis in the health sciences

A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various modern statistical methods for the analysis...

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Detalles Bibliográficos
Otros Autores:	Zhou, Xiao-hua Author (author), Ding, Xiaobo Author (contributor), Liu, Danping Contributor, Liu, Danping Author, Zhou, Chuan Contributor, Zhou, Chuan Author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	[Place of publication not identified] John Wiley & Sons Inc 2014 Hoboken New Jersey 2014
Edición:	1st edition
Colección:	Statistics in Practice. Applied missing data analysis in the health sciences
Materias:	Statistics as Topic. Decision Support Techniques. Investigative Techniques. Research. Models, Theoretical. Science. Epidemiologic Methods. Health Care Evaluation Mechanisms. Medical Informatics Applications. Public Health. Natural Science Disciplines. Quality of Health Care. Medical Informatics. Environment and Public Health. Information Science. Health Care Quality, Access, and Evaluation. Delivery of Health Care. Data Interpretation, Statistical. Research Design. Models, Statistical. Biomedical Research. Methods. Medicine Health & Biological Sciences Medical Education Medical Research
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629431506719