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The cell-based source model proposed in this paper provides a framework for implementing many geographically referenced seismotectonic factors into seismic hazard modelling.
Counting process Cox proportional hazard modelling identified variables associated with long-term mortality in SLS I and II.
Wide variation in data type, hazard modelling techniques, cartographic styles, and subjective preference has led to a vast diversity in the ways volcanic hazard information is represented on maps (Calder et al. 2012), yet limited attention has been paid to the impact of these choices on reader response and comprehension.
This limitation is considered acceptable given the coarse resolution of this regional scale analysis and the intended purpose of the PVAHA framework as a mechanism for providing an evidence base for prioritising further analysis using tested and accepted methods of local scale hazard modelling (e.g. conventional dispersion modelling using fully 3D wind fields).
Table 3 > -wrap-foot> summarises the results of multivariate survival analysis, presented as adjusted hazard ratios, based on the final model derived from Cox's proportional hazard modelling.
Using Cox proportional hazard modelling unadjusted and multi-variable adjusted hazard ratios (AHR) and 95% confidence intervals (CI) for HNC risk were estimated.
Similar(27)
Adjustment for covariates was performed with Cox proportional hazards modeling.
Proportional hazards modeling identified potential risk factors.
Hazard ratios were calculated from adjusted Cox proportional hazards modeling.
Hazard model estimates with no unobserved heterogeneity.
A Cox proportional hazard model was used to compare outcomes.
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