Computational Methods for Large Systems: Electronic Structure Approaches for Biotechnology and Nanotechnology

Book Details

• Author: Reimers, Jeffrey R.

• Publisher: Wiley

• Edition: 1

• Binding: Hardcover

• Format: Illustrated

• Number of Pages: 688

• Release Date: 11-08-2011

• ISBN: 9780470487884

• Package Dimensions: 9.1 x 6.4 x 1.5 inches

• Languages: English

About The Book
"Statistical Methods for the Analysis of Recurrent Events" by Jeffrey R. Reimers provides a thorough introduction to the statistical techniques used to analyze recurrent events in various fields, including medicine, engineering, and social sciences. This textbook is geared towards graduate students, researchers, and professionals who are looking to understand the statistical modeling of recurrent events and their applications.

The book presents both theoretical foundations and practical techniques, offering clear, step-by-step instructions for applying statistical methods. The author covers key topics such as survival analysis, Poisson regression, and Cox models, focusing on how these techniques can be used to analyze data from studies of recurrent events.

Illustrated with examples and real-world applications, this book includes numerous exercises and case studies, which help reinforce key concepts and foster a deeper understanding of statistical methods. Whether you're new to the subject or seeking a deeper exploration, this book offers a comprehensive resource for anyone interested in the analysis of recurrent events.