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According to [97], the isoconversional analysis based on non-isothermal data was successful in correctly describing the multistep kinetics.
In conclusion, using PCR amplification to increase the confidence level of the microarray hybridization data was successful.
A pore and surface diffusion model (PSDM), calibrated and validated using experimental data, was successful in predicting dynamic adsorption and desorption behavior.
Linkage to administrative data was successful for 100% of participating patients and physicians.
Linking to human resources data was successful for 218/232 (94.0%) individuals.
Internal cross-validation checks confirmed that imputation of missing genotypes for MKK data was successful.
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We assumed that the reception of any control frame and data is successful if the receiving node lies within the range of the transmitter.
As long as the in vitro methods used to generate the data are successful at predicting in vivo outcomes, then the in silico models built with that data should be able to closely mimic the results of in vivo studies [9].
Neither type of data is successful at distinguishing early stage (stage I and II) from late stage tumors (stage III and IV).
In cases in which the grouping of the data is successful, the groups are internally homogeneous but have high external heterogeneity [ 26].
We now model the probability that a particular attempt at obtaining outcome data is successful, rather than the marginal probability that outcome data is obtained as in selection modelling.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com