Risk Analysis

Table of Contents

Volume 19 Issue 1 (February 1999)

1-152

Opening Editorial

Opening Editorial

  • Author: Elizabeth L. Anderson
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00378.x (p 1-2)

LETTER TO THE EDITOR

Response to “Eyes Closed Simple, Intuitive, Statistically Sound, and Efficient Methods for Estimating Parameters of Clonal Growth Cancer Models”

  • Author: Rory B. Conolly, David A. Kramer
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00379.x (p 3-5)

Response to Comments on “An Approach for Modeling Noncancer Dose Responses with an Emphasis on Uncertainty” and “A Probabilistic Framework for the Reference Dose (Probabilistic RfD)”

  • Author: Paul S. Price, Russ Keenan, Jeff Swartout, Michael Dourson
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00380.x (p 7-8)

An Alternative Exact Solution of the Two‐Stage Clonal Growth Model of Cancer

  • Author: Rudolf T. Hoogenveen, Harvey J. Clewell, Melvin E. Andemen, Wout Slob
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00381.x (p 9-14)

A Comparison of Regulatory Implications of Traditional and Exact Two‐Stage Dose‐Response Models

  • Author: Weihsueh A. Chiu, David M. Hassenzahl, Daniel M. Kammen
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00382.x (p 15-22)

Context in the Risk Assessment of Digital Systems

  • Author: Chris Garrett, George Apostolakis
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00383.x (p 23-32)

Mixed Levels of Uncertainty in Complex Policy Models

  • Author: Elizabeth A. Casman, M. Granger Morgan, Hadi Dowlatabadi
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00384.x (p 33-42)

When and How Can You Specify a Probability Distribution When You Don't Know Much? II

  • Author: Yacov Y. Haimes, James H. Lambert
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00385.x (p 43-46)

Foundations

A. Uncertainty and Variability

  • Author: Elizabeth L. Anderson, Dale Hattis
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00386.x (p 47-49)

B. Extremes, Extrapolation, And Surprise

  • Author: Nicholas Matalas, Vicki Bier
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00387.x (p 49-54)

C. How, When, Why to Use All of the Evidence

  • Author: Stan Kaplan, David Burmaster
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00388.x (p 55-62)

D. Decision Making

  • Author: Steve Conrad, Scott Ferson
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00389.x (p 63-68)

Decision‐Making with Heterogeneous Sources of Information

  • Author: Donald Richards, William D. Rowe
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00390.x (p 69-81)

A Survey of Approaches for Assessing and Managing the Risk of Extremes

  • Author: Vicki M. Bier, Yacov Y. Haimes, James H. Lambert, Nicholas C. Matalas, Rae Zimmerman
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00391.x (p 83-94)

What Should Be the Implications of Uncertainty, Variability, and Inherent “Biases”/“Conservatism” for Risk Management Decision‐Making?

  • Author: Dale Hattis, Elizabeth L. Anderson
  • Pub Online: May 29, 2006
  • DOI: 10.1111/j.1539-6924.1999.tb00392.x (p 95-107)
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