Improving Causal Inferences in Risk Analysis

Recent headlines and scientific articles projecting significant human health benefits from changes in exposures too often depend on unvalidated subjective expert judgments and modeling assumptions, especially about the causal interpretation of statistical associations. Some of these assessments are...

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Veröffentlicht in:	Risk analysis 2013-10, Vol.33 (10), p.1762-1771
1. Verfasser:	Cox Jr, Louis Anthony (Tony)
Format:	Artikel
Sprache:	eng
Schlagworte:	Accountability research Air air pollution Air pollution caused by fuel industries Air. Soil. Water. Waste. Feeding Applied sciences Assessments Bias Biological and medical sciences causal graphs causal modeling Causal Models Causality change-point analysis counterfactual models Energy Energy. Thermal use of fuels Environment. Living conditions Environmental pollutants toxicology Estimates Exact sciences and technology Experiment design Exposure Granger tests Health Health hazards Intervention intervention analysis Mathematical models Measurement techniques Medical sciences Metering. Control Models, Statistical Panel data Panels Public Health Public health. Hygiene Public health. Hygiene-occupational medicine Risk Risk analysis Risk Assessment Scientific Community Statistical analysis Studies Toxicology
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