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Observed chlorophyll concentration supports a quadratic over a linear zooplankton mortality model.
In accordance with experimental data, the mortality model reproduces on quantitative level both increased and decreased mortality rates in populations of LAF1 mice, which were chronically exposed, respectively, to low and very low level radiation.
The percent mortality model resulted in pseudo median differences between observed and predicted values of 1.1%, RMSE of 12.4%, and 95% confidence interval width of 4.6%.
In this paper, we propose a time-varying coefficient (TVC) mortality model aiming to combine the good characteristics of existing models with efficient model calibration methods.
We also tested for interactions between age and blood pressure in the mortality model.
Outcome assessment was done in the entire group and subgroups using APACHE 4 Predictive Mortality Model.
In the multivariable 30-day mortality model, neither baseline glucose nor the 24 h change in glucose predicted mortality in diabetic patients (n=250).
The hospital mortality model with NIHSS scores had significantly better discrimination than the model without (C statistic, 0.864; 95% CI, 0.861-0.867, vs 0.772; 95% CI, 0.769-0.776; P <.001).
The World Health Organization (WHO) (Mathers and Ho 2014) used to extrapolate the death rates above the age of 85 by assuming a logistic mortality model.
The previously validated IMPACT CHD mortality model was applied to the Icelandic population.
In the all-cause mortality model, having dark blue eyes was a protective factor.
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