's empirical findings under risk. Furthermore, no significant differences are detected across contexts as regards utility and loss …, our data suggest that, for gains at least, the subjective treatment of uncertainty in experience-based and description …

decisions on risk assessment and risk management under conditions of ambiguity, i.e. where probabilities cannot be assigned to … underpins conventional cost-benet analysis (CBA). The other requires that an ambiguity-averse decision-rule - of which maxmin … regulatory task of risk assessment. In our parsimonious model, a decision maker can decide on the precision of a signal which …

's (1921) distinction between uncertainty and risk. Along with the risky profit-maximizing scenario, identifying a second, off …

(y|x=k, w=j). It is common to have a trustworthy evidence‐based risk assessment that predicts y conditional on a subset of the … conditional on covariates that are not utilized in evidence‐based risk assessments. I argue that formalizing clinical judgment … through analysis of the identification problem can improve risk assessments and care decisions. …