Statistical Models for Treatment Delay and Number of Lymph Nodes - Dwivedi, Alok;Nand Dwivedi, Sada;Deo, SVS
56,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 1-2 Wochen
payback
28 °P sammeln
  • Broschiertes Buch

This book reflects designing and conducting a study on treatment delay in cancer patients and statistical models for nodal involvement in breast cancer patients. It includes methodological issues involved in planning a study on treatment delay in cancer, developing statistical models for duration data and statistical models for number of involved nodes in breast cancer. It is a valuable resource for statisticians and health researchers in developing a statistical model.It provides application of cutting edge regression approaches such as log gamma and quantile regressions. It is also a…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
This book reflects designing and conducting a study on treatment delay in cancer patients and statistical models for nodal involvement in breast cancer patients. It includes methodological issues involved in planning a study on treatment delay in cancer, developing statistical models for duration data and statistical models for number of involved nodes in breast cancer. It is a valuable resource for statisticians and health researchers in developing a statistical model.It provides application of cutting edge regression approaches such as log gamma and quantile regressions. It is also a comprehensive resource for applications of various count data models including zero inflated and hurdle models especially in presence of excess zeros. It also focuses on interpreting and communicating results to public health policy planners.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Alok Kumar Dwivedi, Ph.D., holds a doctorate in biostatistics from All India Institute of Medical Sciences, India. He is Post Doctoral Fellow in University of Cincinnati, USA. His current research includes methodological issues dealing with hierarchical structure involving skewed data. He serves as a reviewer of several journals and grants.