This article tries to clarify the potential role to be played by uncertainty theories such as imprecise probabilities, random sets, and possibility theory in the risk analysis process. Instead of opposing an objective bounding analysis, where only statistically founded probability distributions are taken into account, to the full-fledged probabilistic approach, exploiting expert subjective judgment, we advocate the idea that both analyses are useful and should be articulated with one another. Moreover, the idea that risk analysis under incomplete information is purely objective is misconceived.
View Article and Find Full Text PDFEstimating risks of groundwater contamination often require schemes for representing and propagating uncertainties relative to model input parameters. The most popular method is the Monte Carlo method whereby cumulative probability distributions are randomly sampled in an iterative fashion. The shortcoming of the approach, however, arises when probability distributions are arbitrarily selected in situations where available information is incomplete or imprecise.
View Article and Find Full Text PDFObjective: To document the effect of gingival and dental plaque antiseptic decontamination on the rate of nosocomial bacteremias and respiratory infections acquired in the intensive care unit (ICU).
Design: Prospective, multicenter, double-blind, placebo-controlled efficacy study.
Setting: Six ICUs: three in university hospitals and three in general hospitals.
Background: Allowing family members to participate in the care of patients in intensive care units (ICUs) may improve the quality of their experience. No previous study has investigated opinions about family participation in ICUs.
Methods: Prospective multicenter survey in 78 ICUs (1,184 beds) in France involving 2,754 ICU caregivers and 544 family members of 357 consecutive patients.