To illustrate the phenomenon of inflated rates of type I error, we generated data sets that mimic data collected from a split-plot design.
To further test this, we allowed these parameters to take optimal values in order to mimic data derived from III-10 (Fig. 6f, mimicking Fig. 1f), III-30 (Fig. 6g, mimicking Fig. 5b), and CRP (Fig. 6h, mimicking Fig. 4b, fractions 4 6).
Economic data is beginning to mimic data before the previous recession.
Data sets are generated from network models designed to mimic expression data from GRNs with 100 genes.
Our simulation distributions mimic features of data from the Alzheimer's Disease Neuroimaging Initiative cohort study, and involve two subpopulations based on a genetic marker.
Our simulations demonstrate that the model can reasonably mimic the schistosomiasis infection data from these lake and marshland provinces.
We now discuss two of the recent research problems that have been investigated using data from MIMIC-II.
The QueryBuilder application is hosted on a Tomcat 7 application server and connects to an Oracle 11g database containing clinical data from MIMIC-II.
We tested the proposed methodology on two populations: (1) brain trauma patients admitted to the intensive care unit of the Dell Children's Medical Center of Central Texas between 2007 and 2012, and (2) adult ICU patient data from the MIMIC II database.
In most respects, our SSVEP data from Drosophila mimic those observed in other species.
