Survival Analysis A Self-Learning Text (Statistics for Biology and Health) [] David G. Kleinbaum

David G. Kleinbaum

ISBN 10: 0387239189 / ISBN 13: 9780387239187

Verlag: Springer, 2005

Beschreibung

Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used.

Bestandsnummer des Verkäufers 038725146413122-EM02435345

Bibliografische Details

• Titel: Survival Analysis A Self-Learning Text (Statistics for Biology and Health) [] David G. Kleinbaum
• Verlag: Springer
• Erscheinungsjahr: 2005
• Sprache: Englisch
• ISBN-10: 0387239189
• ISBN-13: 9780387239187
• Einband: Softcover
• Auflage: 2. Auflage
• Zustand: Good

Über diesen Titel

Inhaltsangabe

An excellent introduction for all those coming to the subject for the first time. New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises. Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.

Über die Autorin bzw. den Autor

David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. He is also the author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments including distance learning. Mitchel Klein is Research Assistant Professor with a joint appointment in the Department of Environmental and Occupational Health (EOH) and the Department of Epidemiology, also at the Rollins School of Public Health at Emory University. Dr. Klein is also co-author with Dr. Kleinbaum of the second edition of Logistic Regression- A Self-Learning Text (2002). He has regularly taught epidemiologic methods courses at Emory to graduate students in public health and in clinical medicine. He is responsible for the epidemiologic methods training of physicians enrolled in Emory's Master of Science in Clinical Research Program, and has collaborated with Dr. Kleinbaum both nationally and internationally in teaching several short courses on various topics in epidemiologic methods.