Literature DB >> 29665625

The Value of Performance Weights and Discussion in Aggregated Expert Judgments.

Anca M Hanea1, Marissa F McBride2,3, Mark A Burgman2,4, Bonnie C Wintle2,5.   

Abstract

In risky situations characterized by imminent decisions, scarce resources, and insufficient data, policymakers rely on experts to estimate model parameters and their associated uncertainties. Different elicitation and aggregation methods can vary substantially in their efficacy and robustness. While it is generally agreed that biases in expert judgments can be mitigated using structured elicitations involving groups rather than individuals, there is still some disagreement about how to best elicit and aggregate judgments. This mostly concerns the merits of using performance-based weighting schemes to combine judgments of different individuals (rather than assigning equal weights to individual experts), and the way that interaction between experts should be handled. This article aims to contribute to, and complement, the ongoing discussion on these topics.
© 2018 Society for Risk Analysis.

Keywords:  Aggregation; confidence; elicitation protocol; performance-based weighting schemes; structured expert judgment

Year:  2018        PMID: 29665625     DOI: 10.1111/risa.12992

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

Review 1.  Developing a reference protocol for structured expert elicitation in health-care decision-making: a mixed-methods study.

Authors:  Laura Bojke; Marta Soares; Karl Claxton; Abigail Colson; Aimée Fox; Christopher Jackson; Dina Jankovic; Alec Morton; Linda Sharples; Andrea Taylor
Journal:  Health Technol Assess       Date:  2021-06       Impact factor: 4.014

2.  Aggregating predictions from experts: a review of statistical methods, experiments, and applications.

Authors:  Thomas McAndrew; Nutcha Wattanachit; Graham C Gibson; Nicholas G Reich
Journal:  Wiley Interdiscip Rev Comput Stat       Date:  2020-06-16

3.  Adoption of a Data-Driven Bayesian Belief Network Investigating Organizational Factors that Influence Patient Safety.

Authors:  Mecit Can Emre Simsekler; Abroon Qazi
Journal:  Risk Anal       Date:  2020-10-18       Impact factor: 4.302

4.  Bioengineering horizon scan 2020.

Authors:  Luke Kemp; Laura Adam; Christian R Boehm; Rainer Breitling; Rocco Casagrande; Malcolm Dando; Appolinaire Djikeng; Nicholas G Evans; Richard Hammond; Kelly Hills; Lauren A Holt; Todd Kuiken; Alemka Markotić; Piers Millett; Johnathan A Napier; Cassidy Nelson; Seán S ÓhÉigeartaigh; Anne Osbourn; Megan Palmer; Nicola J Patron; Edward Perello; Wibool Piyawattanametha; Vanessa Restrepo-Schild; Clarissa Rios-Rojas; Catherine Rhodes; Anna Roessing; Deborah Scott; Philip Shapira; Christopher Simuntala; Robert Dj Smith; Lalitha S Sundaram; Eriko Takano; Gwyn Uttmark; Bonnie Wintle; Nadia B Zahra; William J Sutherland
Journal:  Elife       Date:  2020-05-29       Impact factor: 8.713

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.