Stochastic models of tumor latency and thier biostatiscal applications
Author(s)
Bibliographic Information
Stochastic models of tumor latency and thier biostatiscal applications
（Series in mathematical biology and medicine, vol. 1）
World Scientific, c1996
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Note
Includes bibliographical references (p. 235-261) and index
Description and Table of Contents
Description
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.
Table of Contents
- Statistical inference from censored data
- mathematical description of tumour latency
- regression analysis of tumour recurrence data
- threshold models of tumor growth
- statistical analysis of discrete cancer surveillance
- optimal strategies of cancer surveillance - minimum delay time approach, minimum cost approach.
by "Nielsen BookData"