Preface.- Historical Introduction.- Descriptive biostatistics.- Inferential biostatistics I: Estimating values of biomedical magnitudes.- Inferential biostatistics II: Estimating biomedical behaviors.- Equations: Formulating biomedical laws and biomedical magnitudes.- Systems of equations: The explanation of biomedical phenomena(I). Basic questions.- Systems of equations: The explanation of biomedical phenomena(II). Dynamic interdependencies.- Optimal control theory: From knowledge to control (I). Basic concepts.- Optimal control theory: From knowledge to control (II). Biomedical applications.- Game theory.- Index.
The book will provide an exhaustive and clear explanation of how Statistics, Mathematics and Informatics have been used in cancer research, and seeks to help cancer researchers in achieving their objectives. To do so, state-of-the-art Biostatistics, Biomathematics and Bioinformatics methods will be described and discussed in detail through illustrative and capital examples taken from cancer research work already published. The book will provide a guide for cancer researchers in using Statistics, Mathematics and Informatics, clarifying the contribution of these logical sciences to the study of cancer, thoroughly explaining their procedures and methods, and providing criteria to their appropriate use.
Provides a clear perspective on how mathematics have been used in cancer research Provides examples of mathematics to correlate biomathematics, biostatistics, and bioinformatics to cancer research Thoroughly examines the procedures of cancer-related biomathematics, biostatistics, and bioinformatics