• Summary
  • Contents
  • Subject index

In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling.

The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field.

Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference; Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models; Part III includes discussion of missing data and robust methods, assessment of fit and ...

Survival Analysis and the Frailty Model
Survival analysis and the frailty model
Ardovan den HoutUniversity College London, United Kingdom
BrianD. M.TomMRC Biostatistics Unit, Institute of Public Health, United Kingdom
30.1 Introduction

Survival analysis is a statistical investigation of time to an event. Applications can be found, for instance, in medical science where the event may be defined as death, or in engineering with regard to the failure of a machine component. The distinguishing feature of survival analysis is that the time-to-event data may be subject to censoring, in which case not all the events under investigation are observed. A typical example of this is right-censoring in a medical study, where individuals are followed up but not all experience the event of interest during the study period.

The term survival model ...

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