After the six stage data analysis process the 17 interviews provided no new emerging themes and therefore it was concluded that data saturation had been reached.
The data may be analysed at sub-national levels [ 12], but for the present study it was concluded that data at cancer network level, with populations over 0.5 million, would be necessary to ensure statistical confidence when using relative survival analysis.
Based on the results from these simulations, it was concluded that data-driven models are more accurate and provide a better fit than traditional models.
So it may be concluded that the data is derived from a normally distributed population.
Therefore, it can be concluded that the data gained from the questionnaire surveys were reliable.
Following Elliott et al. [1] on the appropriate bounds of the parameter values (i.e., (0<nu <1), (zeta >0) as well as (xi >0)), it could be concluded that the data set is suitably modelled by the OU process.
According to the results available in the literature [51], it can be concluded that statistical data obtained as the result of performed statistical analysis of Polish language, based on the orthographic and phonemic language corpora, are correct.
By considering the experimental results and adsorption models applied in this study, it can be concluded that equilibrium data were well represented by a langmuir isotherm equation with maximum adsorption capacities of 1.908 and 0.750 g HF/g NaF in 22 and 54 °C.
Looking at experiments in which a laser microdissection approach was adopted [ 15, 16], it can be concluded that the data pertaining to aquaporin expression patterns are extremely consistent, regardless of the plant-fungus association, suggesting that they could be considered good novel indicators of AM symbiosis and, in the case of LjNIP1, of root symbiosis.
Therefore, it can be concluded that integrating methylated data with expression data can be useful for comprehending in-depth disease mechanism and for the ultimate goal of better target identification.
