The main objective of this study was to determine observed and self-perceived competence with critical care ultrasound in graduated general surgery residents.
The data were plotted and fit in SigmaPlot software (Systat Software Inc., Chicago, IL) to exponential curves to determine observed rate constants and to hyperbolic curves to determine binding constants.
The data were plotted and fit in SigmaPlot to exponential curves to determine observed rate constants and to hyperbolic curves to determine binding constants.
The data were plotted and fit to exponential curves using SigmaPlot software package (Systat Software) to determine observed rate constants as previously described (Korennykh et al., 2009).
KinTek Explorer (KinTek Corp., Austin, TX) was used to perform global analyses of multiple time-dependent data sets through singular-value decomposition to determine observed rate values.
The model focuses on upstream-directed travel, with states determined from observed fish movement patterns indicating directed upstream travel, downstream travel (fallback), and use of non-natal tributaries.
The sample mean,, and sample variance,, are determined from observed data at the forecasting time (T p ). Table 1 Probability distributions.
We then determined if observed |αIMMUNE-αNONIMMUNE| was greater than 95% of the |αIMMUNE-αNONIMMUNE| from permuted dataset.
We determined their observed and relative survival rates and used Cox proportional hazards regression analysis to predict prognosis.
For each group, mean overall weight change and mean appetite scale score changes were determined using observed case analyses.
