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Just as robust health protects individuals, robust health systems protect everyone.
These results further underscore the utility of our approach using frequent sampling of identifiable individuals, robust estimates of individual movements, and an analytical framework for estimating size- and location-dependent survival.
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The method for individual robust prediction based on the extremal properties of Karlin polynomials and the ideas of minimax estimation is proposed.
In Equation (8), it is assumed that the value of θ is the regression coefficient in the actual method, and θ ^ Open image in new window is the regression coefficient in the considered method (actual, individual robust, and SIMIR approaches).
In addition, the results showed that the proposed approach would consider a number of points to be real outliers in the multi-response problem, although individual robust regression shows some other points as outliers.
Then, to evaluate the procedures mentioned (actual, individual robust, and SIMIR approaches), the SE of these estimated parameters are computed using Equation (8), and the results are reported in Table 6.
To allow for dependence between repeat infections in the same individual, robust variance estimates (Huber-White sandwich estimator) are reported (30).
Studies of ancient human skeletal remains frequently proceed from the assumption that individuals with robust limb bones and/or rugose, hypertrophic entheses can be inferred to have been highly physically active during life.
Multiple events were allowed, accounting for dependence within individuals using robust variance estimates.
Fundamentally, such a strategy requires prompt identification of colonized individuals and robust methods to reduce transmission to noncolonized patients.
A subset of individuals demonstrated robust weight loss that was detected very early in the course of treatment.
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