From "Weight of Evidence" to Quantitative Data Integration using Multicriteria Decision Analysis and Bayesian Methods

Summary “Weighing” available evidence in the process of decision-making is unavoidable, yet it is one step that routinely raises suspicions: what evidence should be used, how much does it weigh, and whose thumb may be tipping the scales? This commentary aims to evaluate the current state and future roles of various types of evidence for hazard assessment as it applies to environmental health. In its recent evaluation of the US Environmental Protection Agency’s Integrated Risk Information System assessment process, the National Research Council committee singled out the term “weight of evidence” (WoE) for critique, deeming the process too vague and detractive to the practice of evaluating human health risks of chemicals. Moving the methodology away from qualitative, vague and controversial methods towards generalizable, quantitative and transparent methods for appropriately managing diverse lines of evidence is paramount for both regulatory and public acceptance of the hazard assessments. The choice of terminology notwithstanding, a number of recent Bayesian WoE-based methods, the emergence of multi criteria decision analysis for WoE applications, as well as the general principles behind the foundational concepts of WoE, show promise in how to move forward and regain trust in the data integration step of the assessments. We offer our thoughts on the current state of WoE as a whole and while we acknowledge that many WoE applications have been largely qualitative and subjective in nature, we see this as an opportunity to turn WoE towards a quantitative direction that includes Bayesian and multi criteria decision analysis.

[1]  Sebastian Hoffmann,et al.  Evidence-based toxicology for the 21st century: opportunities and challenges. , 2013, ALTEX.

[2]  Richard A Becker,et al.  Read-across approaches--misconceptions, promises and challenges ahead. , 2014, ALTEX.

[3]  I.,et al.  Weight of Evidence : A Brief Survey , 2006 .

[4]  Igor Linkov,et al.  A weight of evidence approach for hazard screening of engineered nanomaterials , 2014, Nanotoxicology.

[5]  Sebastian Hoffmann,et al.  Evidence-Based Toxicology. , 2016, Advances in experimental medicine and biology.

[6]  Mitchell J Small,et al.  Methods for Assessing Uncertainty in Fundamental Assumptions and Associated Models for Cancer Risk Assessment , 2008, Risk analysis : an official publication of the Society for Risk Analysis.

[7]  Thomas Hartung,et al.  Food for thought... on evidence-based toxicology. , 2009, ALTEX.

[8]  Igor Linkov,et al.  Weight-of-evidence evaluation in environmental assessment: review of qualitative and quantitative approaches. , 2009, The Science of the total environment.

[9]  Valérie Zuang,et al.  The Principles of Weight of Evidence Validation of Test Methods and Testing Strategies , 2006, Alternatives to laboratory animals : ATLA.

[10]  Igor Linkov,et al.  Use of Multicriteria Decision Analysis to Support Weight of Evidence Evaluation , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[11]  Division on Earth Review of Epa's Integrated Risk Information System (Iris) Process , 2014 .

[12]  P.,et al.  Weight-of-Evidence ( WOE ) : Quantitative Estimation of Probability of Impairment for Individual and Multiple Lines of Evidence , 2006 .

[13]  Keying Ye,et al.  Weight-of-Evidence (WOE): Quantitative Estimation of Probability of Impairment for Individual and Multiple Lines of Evidence , 2002 .

[14]  D. Mcclung The strength and weight of evidence in backcountry avalanche forecasting , 2011 .

[15]  Christian Micheletti,et al.  Weight of Evidence approach for the relative hazard ranking of nanomaterials , 2011, Nanotoxicology.

[16]  Irving John Good,et al.  C197. The best explicatum for weight of evidence , 1984 .

[17]  H. Buist,et al.  The OSIRIS Weight of Evidence approach: ITS for skin sensitisation. , 2013, Regulatory toxicology and pharmacology : RTP.

[18]  Ralph Kühne,et al.  The OSIRIS Weight of Evidence approach: ITS mutagenicity and ITS carcinogenicity. , 2013, Regulatory toxicology and pharmacology : RTP.

[19]  Zuang Valerie,et al.  The Principles of Weight of Evidence Validation of Test Methods and Testing Strategies , 2006 .

[20]  Petra S Kern,et al.  Integrating non-animal test information into an adaptive testing strategy - skin sensitization proof of concept case. , 2011, ALTEX.

[21]  D. Weed Weight of Evidence: A Review of Concept and Methods , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[22]  John R. Bucher,et al.  Systematic Review and Evidence Integration for Literature-Based Environmental Health Science Assessments , 2014, Environmental health perspectives.

[23]  T Hartung,et al.  Toward an evidence-based toxicology , 2006, Human & experimental toxicology.

[24]  Martin Stephens,et al.  Mechanistic validation. , 2013, ALTEX.

[25]  G. Luber,et al.  An Evidence-Based Public Health Approach to Climate Change Adaptation , 2014, Environmental health perspectives.

[26]  Fred A. Wright,et al.  ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence , 2013, Bioinform..

[27]  Division on Earth,et al.  A Framework to Guide Selection of Chemical Alternatives , 2014 .

[28]  Alexandra Maertens,et al.  Integrated testing strategies for safety assessments. , 2013, ALTEX.

[29]  E. Sujatha,et al.  Assessing landslide susceptibility using Bayesian probability-based weight of evidence model , 2014, Bulletin of Engineering Geology and the Environment.

[30]  Sebastian Hoffmann,et al.  Integrated Testing Strategy (ITS) - Opportunities to better use existing data and guide future testing in toxicology. , 2010, ALTEX.

[31]  Robert L. Winkler,et al.  Multiple Experts vs. Multiple Methods: Combining Correlation Assessments , 2004, Decis. Anal..

[32]  I. Good Weight of Evidence, Corroboration, Explanatory Power, Information and the Utility of Experiments , 1960 .

[33]  Silke Gabbert,et al.  Towards optimization of chemical testing under REACH: a Bayesian network approach to Integrated Testing Strategies. , 2010, Regulatory toxicology and pharmacology : RTP.