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Both models of mortality fitted the data well with values for the Hosmer Lemeshow statistic significantly exceeding P = 0.05 for both P. contorta (P = 0.19) and P. nigra (P = 0.92).
These limitations are important and call for caution in interpreting the results given here, and/or in utilising our models of mortality (Table S2 in Supporting Information).
The main strength of this study is the prospective comprehensive assessment of several indices and prognostic models of mortality.
Table 2 shows the univariate and multivariate Poisson regression models of mortality rate ratios for all versions of the dataset.
Table 3 presents the results of univariate and multivariate Cox proportional hazard ratio regression models of mortality risk considering relative age-related confounding factors.
However, none of the 3 models of mortality risk in our study group showed an association between injection drug use and mortality.
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An accurate predictive model of mortality in patients with NSCLC could be useful to clinicians, policy makers, and researchers involved in risk stratification.
The model of mortality of a nonhomogeneous population involves two types of distributions, normal and log-normal, of individuals with respect to the radiosensitivity of cells of the critical system.
A significant fixed effect of market was found in the model of mortality claims for longsnout catfish (p < 0.05), and changing patterns of VPC and ICC suggested that customers ordering longsnout catfish had more variation in claims than those ordering the other 2 species.
Therefore, we undertook the modeling of mortality in two steps.
This model of mortality is supported by the work of Promislow & Tatar [34] who note that mutational and environmental alterations appear to be more likely to affect the age-independent rather than the age-dependent component of mortality.
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