Stochastic Models of Tumor Latency and Their Biostatistical Applications (Hardcover) (ISBN-13: 9789810218317)

This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data on cancer latency produced by follow-up and discrete surveillance studies. Methods for designing optimal strategies of cancer surveillance are systematically presented for the first time in this book. It offers new approaches to the stochastic description of tumor latency, employs biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data resulting from discrete surveillance strategies. It also offers insight into the role of prognostic factors based on the interpretation of their effects in terms of parameters endowed with biological meaning, as well as methods for designing optimal schedules of cancer screening and surveillance. Last but not least, it discusses survival models allowing for cure rates and the choice of optimal treatment based on covariate information, and presents numerous examples of real data analysis.

Author: Alexander D. Tsodikov,Andrei Yu Yakovlev,B. Asselain
ISBN-10: 9810218311
ISBN-13: 9789810218317
Publisher: World Scientific Publishing Company
Language: English
Published: 03/01/1996
Pages: 288
Format: Hardcover
Weight: 1.25lbs
Size: 8.60h x 6.10w x 0.90d