Recursive Partitioning in the Health Sciences / Statistics for Biology and Health (PDF)
(Sprache: Englisch)
A demonstration of the recursive partitioning methodology and its effectiveness as a response to the challenge of analysing and interpreting multiple complex pathways to many illnesses, diseases, and ultimately death. For comparison purposes, standard...
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A demonstration of the recursive partitioning methodology and its effectiveness as a response to the challenge of analysing and interpreting multiple complex pathways to many illnesses, diseases, and ultimately death. For comparison purposes, standard regression methods are presented briefly and then applied in the examples. This book is suitable for three broad groups of readers: biomedical researchers, clinicians, public health practitioners including epidemiologists, health service researchers, and environmental policy advisers; consulting statisticians who can use the recursive partitioning technique as a guide in providing effective and insightful solutions to clients'problems; and statisticians interested in methodological and theoretical issues. The book provides an up-to-date summary of the methodological and theoretical underpinnings of recursive partitioning, as well as a host of unsolved problems the solutions of which would advance the rigorous underpinnings of statistics in general.
Bibliographische Angaben
- Autoren: Heping Zhang , Burton H. Singer
- 2013, 1999, 226 Seiten, Englisch
- Verlag: Springer, New York
- ISBN-10: 1475730276
- ISBN-13: 9781475730272
- Erscheinungsdatum: 14.03.2013
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- Größe: 17 MB
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