Sentence examples for effects for hazard from inspiring English sources

These properties have varying influence on map preference, understanding, trust, and application, which could have important effects for hazard management decision-making and incorporation into risk reduction strategies, particularly if a reader relies on intuitive gist or feeling for the information presented to some degree (Reyna and Brainerd 1991; Finucane et al. 2000).

For hazard scores, no significant interactions were found, resulting in a model with main effects for Hazard (P = 0.00), Role (P = 0.33) and Background (P = 0.08).

Our approach of using multiple cell cultures and cytotoxicity end points has proven valuable in revealing the combinatorial nanoparticle-mediated effects important for hazard assessment.

As predicted by the normative model, the best-fitting leak depended on both (Friedman test, p < 0.0005 for the effect of hazard rate and p < 0.0001 for the effect of motion coherence; Figure 9A).

Most adjusted hazard ratios for cardiovascular drugs were similar across combinations of coexisting conditions, though there were trends toward variable effects for β blockers adjusted hazard ratios ranged from 0.48 (95% confidence interval 0.34 to 0.67) to 0.88 (0.61 to 1.26).

Identifying an adverse effect forms the basis for hazard identification and for defining the critical effect for quantitative risk assessment.

While many believe in a "cry wolf" effect that occurs when people tune out warnings of many types, to actually chronicle this effect for natural hazards is difficult.

Recent concerns regarding the potential of pharmaceuticals to harm nontarget aquatic organisms illustrate how extrapolation of human-focused data can be used to infer potential ecological effects for prioritizing pharmaceutical chemicals/classes for hazard assessment purposes (Boxall et al. 2012; Schreiber et al. 2011; Tarazona et al. 2007).

Flexible parametric survival models have advantages over Poisson regression models for excess mortality, which fit piecewise constant effects for the baseline excess hazard rate, as they obviate the need for splitting the time scale into a number of intervals.

Effect modification by age showed stronger PM2.5 effects for those aged 60-74 (hazaratiotio 1.25, 95% confidence interval 1.03 to 1.51) and for those >75 (1.18, 0.85 to 1.64) than among those aged under 60 (0.71, 0.71 to 1.15), with P=0.11 for effect modification.

Although the data on timing of side effects is limited, it will be possible to produce estimates of the rate of side effects and hazard ratios for the effect of the mode of different treatment as well as for dosage and other pain killers.