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Risk Assessment and Evaluation of Predictions

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Mei-Ling Ting Lee

    1. University of Maryland, College Park, USA

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  2. Mitchell Gail

    1. National Cancer Institute Div. Cancer Epidemiology & Genetics, Bethesda, USA

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  3. Ruth Pfeiffer

    1. National Cancer Institute, Bethesda, USA

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  4. Glen Satten

    1. Centers for Disease Control and Prevention, Atlanta, USA

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  5. Tianxi Cai

    1. Department of Biostatistics, Harvard School of Public Health, Boston, USA

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  6. Axel Gandy

    1. Department of Mathematics, Imperial College London, London, United Kingdom

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  • Comprehensively covers clinical risk analysis and risk prediction in the host of fields in clinical medicine, including cancer and cardiovascular disease
  • New survival and regression analysis techniques discussed
  • Applies directly to areas of statistical genetics and marker identification
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Statistics (LNS, volume 215)

Part of the book sub series: Lecture Notes in Statistics - Proceedings (LNSP)

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xi
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  2. Risk Assessment in Lifetime Data Analysis

    1. Front Matter

      Pages 1-1
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    2. Non-proportionality of Hazards in the Competing Risks Framework

      • Alvaro Muñoz, Alison G. Abraham, Matthew Matheson, Nikolas Wada
      Pages 3-22

    3. Semiparametric Inference on the Absolute Risk Reduction and the Restricted Mean Survival Difference

      • Song Yang
      Pages 23-46

    4. Connecting Threshold Regression and Accelerated Failure Time Models

      • Xin He, G. A. Whitmore
      Pages 47-60

    5. Residuals and Functional Form in Accelerated Life Regression Models

      • Stein Aaserud, Jan Terje Kvaløy, Bo Henry Lindqvist
      Pages 61-65

    6. Neyman, Markov Processes and Survival Analysis

      • Grace Yang
      Pages 67-86

    7. Quantiles of Residual Survival

      • Christopher Cox, Michael F. Schneider, Alvaro Muñoz
      Pages 87-103

  3. Evaluation of Predictions

    1. Front Matter

      Pages 105-105
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    2. Methods for Evaluating Prediction Performance of Biomarkers and Tests

      • Margaret Pepe, Holly Janes
      Pages 107-142

    3. Estimating Improvement in Prediction with Matched Case-Control Designs

      • Aasthaa Bansal, Margaret Sullivan Pepe
      Pages 143-177

    4. ROC Analysis for Multiple Markers with Tree-Based Classification

      • Mei-Cheng Wang, Shanshan Li
      Pages 179-198

    5. Assessing Discrimination of Risk Prediction Rules in a Clustered Data Setting

      • Bernard Rosner, Weiliang Qiu, Mei-Ling Ting Lee
      Pages 199-238

    6. Time-Dependent AUC with Right-Censored Data: A Survey

      • Paul Blanche, Aurélien Latouche, Vivian Viallon
      Pages 239-251

    7. Subgroup Specific Incremental Value of New Markers for Risk Prediction

      • Q. Zhou, Y. Zheng, T. Cai
      Pages 253-282

  4. Applications

    1. Front Matter

      Pages 283-283
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    2. Assessing the Effects of Imprinting and Maternal Genotypes on Complex Genetic Traits

      • Shili Lin
      Pages 285-300

    3. Competing Risks Models and Breast Cancer: A Brief Review

      • Sharareh Taghipour, Dragan Banjevic, Anthony Miller, Bart Harvey
      Pages 301-313

    4. Quantifying Relative Potency in Dose-Response Studies

      • Gregg E. Dinse, David M. Umbach
      Pages 315-331

    5. Development and Validation of Exposure Biomarkers to Dietary Contaminants Mycotoxins: A Case for Aflatoxin and Impaired Child Growth

      • Paul Craig Turner, Barbara Zappe Pasturel
      Pages 333-347
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Keywords

About this book

Methods of risk analysis and the outcome of particular evaluations and predictions are covered in detail in this proceedings volume, whose contributions are based on invited presentations from Professor Mei-Ling Ting Lee's 2011 symposium on Risk Analysis and the Evaluation of Predictions. This symposium was held at the University of Maryland in October of 2011. Risk analysis is the science of evaluating health, environmental, and engineering risks resulting from past, current, or anticipated, future activities. The use of these evaluations include to provide information for determining regulatory actions to limit risk, present scientific evidence in legal settings, evaluate products and potential liabilities within private organizations, resolve World Trade disputes amongst nations, and educate the public concerning particular risk issues. Risk analysis is an interdisciplinary science that relies on epidemiology and laboratory studies, collection of exposure and other field data, computer modeling, and related social, economic and communication considerations. In addition, social dimensions of risk are addressed by social scientists.

Editors and Affiliations

  • University of Maryland, College Park, USA

    Mei-Ling Ting Lee

  • National Cancer Institute Div. Cancer Epidemiology & Genetics, Bethesda, USA

    Mitchell Gail

  • National Cancer Institute, Bethesda, USA

    Ruth Pfeiffer

  • Centers for Disease Control and Prevention, Atlanta, USA

    Glen Satten

  • Department of Biostatistics, Harvard School of Public Health, Boston, USA

    Tianxi Cai

  • Department of Mathematics, Imperial College London, London, United Kingdom

    Axel Gandy

About the editors

Mei-Ling-Ting Lee, Ph.D. Professor and Chairman Department of Statistics University of Maryland College Park, Maryland.

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