Sentence examples for statistically minimized from inspiring English sources
Using mixed or random effects logistic regression models that controlled for the number of hospitalizations and includes fixed effects for each medication and each period, this bias was statistically minimized.
The Kalman filter produces an estimate of the interest having statistically minimized error by combining all available data, plus a prior knowledge about the system and measuring devices.
Finally, extensive performance evaluations show that our proposal is robust to location errors, thus statistically minimizing consumed transmit power as a packet is relayed from source to destination.
The probability of Type I error (getting of false positive result) is several times less, than probability of Type II error (getting of false negative result) [ 28], and the possibility of this error was minimized as statistically significant P-values were achieved.
Practically, the time shift relative to the penetration is statistically determined to minimize the misfit between measurements and the model.
We classified all putative proteins from the 39 cyanobacterial genomes into nearly orthologous protein clusters; each cluster was statistically defined to minimize its size.
In order to avoid false associations in multiple comparisons in the bivariate analyses, the Bonferroni correction was applied and the p<0.001 was considered statistically significant to minimize type 1 error.Two different logistic regression models (step wise procedure) were performed: one using "adherence" as dependent variable and another using "clinical failure".
Here we provide an example of an antagonistic intersexual arms race, where confounding effects of incomplete taxon sampling is minimized and phylogenetic uncertainty statistically accounted for.
In this way, statistically suboptimal, manual alterations of models are minimized.
In this way, statistically suboptimal, manual alterations of models can be minimized.
Alternatively, ICA seeks to represent input data as a linear combination of a set of statistically independent components by minimizing their mutual information.
