Risk Assessment and Evaluation of Predictions [electronic resource] / edited by Mei-Ling Ting Lee, Mitchell Gail, Ruth Pfeiffer, Glen Satten, Tianxi Cai, Axel Gandy.

Preface -- Methods for Evaluating Prediction Performance of Biomarkers and Tests -- Multiple Imputation Approach for Surrogate Marker Evaluation in the Principal Strati cation Causal Inference Framework.

Risk analysis is the science of evaluating health, environmental, or engineering risks resulting from past, current, or anticipated future activities. Risk analysis is an interdisciplinary subject that relies on epidemiology and laboratory studies, collection of exposure and other field data, computer modeling, and related biomedical, social, and economic considerations.  This proceedings volume, with contributions from invited presentations at the 2011 International Conference on Risk Assessment and Evaluation of Predictions, gives detailed coverage of methods of risk analysis as well as more recent developments in the areas of evaluation and prediction of risks.  The conference was organized by the Biostatistics & Risk Assessment Center at the University of Maryland, and was held in Silver Spring, Maryland in October of 2011. This volume will serve as a valuable reference for researchers working in these topic areas.