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The optimization exploits the new Stein Unbiased Risk of Estimation ((SURE), [2]) proposed in [3].
Pancreatic cancer is a rare complication after cystic fibrosis and the risk of estimation has been based on international case collections (Maisonneuve et al, 2007).
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A multiplicative decomposition method was designed to forecast future production and Monte Carlo simulation was employed in the model to evaluate the risk of estimations.
Future investigations should account for an appropriate consideration and/or presentation of these aspects to allow for risk of bias estimation.
However, most of the previous studies focus overwhelmingly on unidirectional mass diffusion from collected objects to uncollected objects, while overlooking the opposite direction, leading to the risk of similarity estimation deviation and performance degradation.
In these patients, risk of death estimation is considered inappropriate since virtually all of them survive.
However, with regard to the heterogeneity of study objectives and hypotheses, confounding was not included into the overall risk of bias estimation.
Second, our operationalization of the birth region was necessarily limited to nine Census divisions, a sample size that precluded multilevel modeling due to the risk of biased estimation of region-level standard errors [ 45].
These reasons led us to revise and update the RISC score, with the aim to establish a more accurate, up-to-date, and easier to use model for risk of death estimation in severely injured patients.
Usually, the risk of making estimations cannot be computed because the joint distribution between the inputs and the outputs is unknown.
If the rejection rate is low, there is less risk of under-estimation, i.e. type II error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com