"the Survival Hypothesis"

In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the specific aim of describing time-varying effects of explanatory variables.

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.

On the basis of thermodynamic considerations and the Earth’s historical processes, this book argues the physical inevitability of life’s generation and evolution, i.e., Why did life generate? Why does life evolve? Following an introduction to the problem, the hypothesis “Darwinian Evolution of Molecules” is proposed, which explains how, when, and where life was instigated through successive chemical reactions and the survival of selected molecules.

The Role of Metabolism and Diet in Cancer Management