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In fact, different results may be achieved according to the way error recovery will be performed, as discussed in the next section.
In this way error propagation from individual gene transcript measurements is reduced.
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In this way, errors can get rectified, methods and systems be improved in the light of public experience and sharing of good practice, and, over time, the best analyses and sharpest ideas prevail over mediocre ones.
In this way errors due to the flux between the domains are small.
In this way, errors due to gel dimensions and boundary conditions were minimized.
In this way, errors resulting from unrealistic or biased simulation data could be minimized.
The slogan states "Safety is no accident" [ 3]; stated another way, errors in healthcare are rarely random, unpredictable events.
Although we compare with HybridShrec later, which uses such a strategy, it is not straightforward to analyze the advantage of our new formulation of optimal error correction because HybridShrec further differs in the way errors are detected.
Our estimation strategy can be illustrated by referencing a two-way error component model that includes both individual and family heterogeneity.
Accounting for individual heterogeneity using a one-way error component model will therefore be robust to any time-invariant, individual-, or family-level heterogeneity that is correlated with spouses' mental health (Chatterji et al. 2014; Kim and Frees 2006).
Under the models (1.1) for panel data with a one-way error structure, You and Zhou [11] and You et al. [12] developed the weighted semiparametric least square estimator and derived asymptotic properties of the estimators.
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