Recursive Partitioning in the Health Sciences
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Beschreibung
This monograph will be an essential reference for statistical researchers and practitioners in the health sciences. The book presents new nonparametric results with many important applications.
Autor*in
Heping Zhang
Themen in »Recursive Partitioning in the Health Sciences«
Computerassistierte Detektion Factor analysis Logistic Regression Radiologieinformationssystem Recursive Partitioning Statistics for Health Sciences classification methodology statistics
Stimmen zu »Recursive Partitioning in the Health Sciences«
STATISTICAL METHODS IN MEDICAL RESEARCH
"The beauty of the Zhang and Singer’s book is that it gives an excellent comparison between conventional regression models and recursive partitioning techniques. This comparative approach gives the reader insight into how a recursive partitioning technique can have an advantage over the conventional methods…Overall, the book provides an excellent introduction to tree based methods and their applications. It can be a good place to start learning about recursive partitioning. In addition, biostatisticians will enjoy the real life examples that have been used in the book."
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