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The proper selection and applications of correct models, as well as appropriate data interpretation, are critically important in decision making and successful advancement of drug candidates.
Data of the commensurate size and shape needed to validate a big theory is often either merely unattainable, too expensive to derive, too elusive to observe, and, for some theories, it may simply be unclear what would so much as count as appropriate data in the first place.
Some molecular features of pollen tube growth are likely to be important to include in future models as appropriate data become available.
As appropriate, data are presented as median and range, and comparisons between patient groups were carried out using the χ test or Mann–Whitney U-test.
This aspect of treatment was not included in the analysis, however, as appropriate data from randomized trials were not available for all three cholinesterase inhibitors under evaluation.
As appropriate, data were analyzed statistically by Student's t test, Kruskal Wallis test with Dunn's multiple comparisons test, and two-way analysis of variance (ANOVA) with Bonferroni's multiple comparisons test.
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We selected the Entrez Gene database [9] as an appropriate data source, as it met the above-mentioned requirements and was expected to maintain data quality with regular updates.
We cannot examine this hypothesis in more detail, unfortunately, as the appropriate data are not available.
The semi-structured interview was chosen as an appropriate data collection method, allowing for flexibility in the interview guide and enabling the researchers to develop an in-depth understanding of the research topic [ 25].
Difficulty in finding appropriate data, as well as methods to control for selection and income inequality have hampered their efforts at answering this question.
Data were compared using the χ test (nominal data), Wilcoxon rank test (nonparametric continuous data) or Student's t test (Gaussian continuous data), as appropriate.
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