Narrow Results

The hazard function is an important tool in epidemiologic research. Mathematical cancer models are often applied in epidemiologic research via the hazard functions induced by such models. This chapter examines some of the existing methods for computing hazard functions induced by a wide class of stochastic cancer models.

The following sections are included:

• Introduction

• Resource

• Generalized Sedyakin's model

• Additive accumulation of damages model

• Proportional hazards model

• Generalized proportional hazards models

• The main classes of GPH models.

• Parametrization of the function r in AAD and GPH models

• Changing shape and scale models

• Generalizations

• The heredity hypothesis

• References