Welcome to the Home Page of the Encyclopedia of Quantitative Risk Analysis and Assessment

Quantitative risk assessment is a growing, important component of the larger field of risk assessment. The need to understand the risks of an activity, be it economic, environmental, public health/biomedical, or even based on terrorist or other hazardous impacts, has led to a number of methods of analysis for many different application scenarios. Indeed, all major areas of the larger endeavor - hazard identification, dose-response assessment, exposure assessment, and risk characterization - rely on and benefit from quantitative operations. Within these contexts, enhanced understanding of both the variability and the uncertainty inherent in the risk identification process is critically dependent upon proper implementation of appropriate statistical methodologies.

This work is edited by Professor Brian Everitt, Professor Emeritus, Institute of Psychiatry, Kings College, London, UK and Professor Ed Melnick, New York University, USA.

It will consist of four volumes (2400 pages) and is currently on schedule to publish in print in May 2008, followed by an on-line version in November 2008.

Consisting of some 600 articles, it will cover the following topics:-

This page will be updated on a regular basis to reflect progress.

Comments on the original proposal:

Professor de Giorgi, University of Lugano, Switzerland

‘I believe that a major reference work on quantitative risk, covering several topics and fields will provide a very valuable tool for researchers.’

Paul Slovic, University of Oregon, USA

‘Risk is such an important concept in today's world that there could be significant interest in this volume.’