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Biometry --- Methodology. --- Research.

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Medical statistics. --- Biometry.

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Biomathematics. Biometry. Biostatistics --- Human medicine --- Medical statistics.

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This is an accessible, practical and comprehensive guide for researchers from multiple disciplines including, biomedical epidemiology, engineering and the social sciences. Inside readers are offered a blueprint for their entire research project, from data preparation to model selection and diagnostics.

Event history analysis. --- Survival analysis (Biometry)

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This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effectiv

Biomathematics. Biometry. Biostatistics --- Cancer --- Neural networks (Computer science) --- Survival analysis (Biometry) --- Diagnosis. --- Prognosis.