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Although a changing environment will likely affect many species in temperate forests, the direction and strength of those influences needs to be modeled on a species by species basis as we show that interactions are critical to interpreting demographic patterns, and by extension population dynamics.
Only fall (reported by 32 patients, or 5.2%%) was reported by more than 5.0%% of the total extension population.
Regrettably, urinary protein values were available in only a small proportion of patients in the extension population (e.g. nine patients at month 35 postrandomization) so a more detailed analysis was not feasible.
This makes weighted least squares useful for researchers interested in sample level (or by extension, population level) inferences because many standard statistical packages are not designed for choice models and require researchers to perform a certain amount of data manipulation; and datasets for individual level analyses can be very large, particularly in a best-worst context.
The difference in unadjusted and adjusted eGFR between the treatment groups did not achieve statistical significance by 3 years posttransplant in the smaller extension population using the prespecified Cockcroft-Gault formula but attained significance in favor of the CNI-free regimen in a post hoc analysis based on the Nankivell formula.
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By extension, populations experiencing higher rates of extrinsic mortality should be under weaker selection against mutations with deleterious effects late in life, and should therefore evolve more rapid senescence [3], [4].
Extension intention-to-treat (ITT) (all randomized patients exposed to trial product who entered the extension) and extension safety (all patients exposed to trial product who entered the extension) populations were used for efficacy and safety analyses, respectively.
However, the extension to population models that treat the dynamics of both excitatory and inhibitory populations is straightforward.
These autonomous communities are heterogeneous in terms of extension and population, ranging from more than 8 million people in Andalusia to 0.3 million in La Rioja (Fig. 1).
The demographics and baseline characteristics of the extension study population are shown in Table 1.
Three patients who were not formally randomized were excluded from the extension ITT population.
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