Stochastic Models of Tumor Latency and Their Applications (Series in Mathematical Biology & Medicine): 1 (Series In Mathematical Biology And Medicine) - Hardcover

Tsodikov, Alexander D; Yu Yakovlev, Andrei; Asselain, B

Hardcover

ISBN 10: 9810218311 ISBN 13: 9789810218317

Publisher: World Scientific Publishing Co Pte Ltd, 1994

Synopsis

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.

About this title

Synopsis

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. This book offers new approaches to the stochastic description of tumour latency, employs biologically-based models for making statistical inference from data on tumour 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.

Edition details

• Publisher: World Scientific Publishing Co Pte Ltd
• Publication date: 1994
• Language: English
• ISBN 10: 9810218311
• ISBN 13: 9789810218317
• Binding: Hardcover
• Number of pages: 288