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More importantly, no differences in the trajectory of migrating neurons were observed in confrontation experiments between groups (for example, CH versus COS1 secreting Sema3E-AP; ratio QP/QD SEAP: 1.08±0.11; Sema3E-AP: 0.91±0.12; mean±s.e.m.), suggesting a motogenic rather than a chemotropic effect of Sema3E-AP in hem-derived CR cells (Fig. 2d,e; see also Supplementary Fig. 5).
With respect to assessing individual abilities, the incorporation of adaptive mechanics acts as a normalizing agent for each individual in accordance with their underlying cognitive abilities,18 facilitating fair comparisons between groups (for example, neurotypical and study populations).
ANOVA was used to investigate differences between groups, for example, those using different glucocorticoid treatment regimens.
Each element can therefore be interpreted to illustrate movement between groups; for example, of the 56 patient cases classified as normal at low FiO2 level using the two-parameter model, 39 patients remain classified as normal at high FiO2 levels.
Pearson Chi Squared tests were used to examine differences between groups (for example clinicians practicing in different settings) in the proportion of respondents giving different choices of gestational prolongation required to change practice.
Kruskal-Wallis tests were used to determine if there were differences in continuous variables between groups (for example, usual number of standard drinks consumed by age group), and post-hoc comparisons were made using the Mann-Whitney U test.
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In the analysis of differences between patient groups (for example, between responders and non responders, between genders, etc)., we used the t-test for continuous variables and the chi-square test for categorical variables.
Resource dependency is also found between actor groups, for example, between civil servants and politicians.
To test for difference between two groups (for example, between old LINE loci being genic or distal), pairs of average values were collected for the 90 LINE families (Additional File 1, Table S1) and tested using a Wilcoxon Signed-Rank Test.
These residuals are used to test the null hypothesis that the log hazard-ratio function is constant over time, that is, that the ratio of hazards between different groups (for example, between patients aged 50 or less and over-50) is constant over time.
Simple tests, such as t-tests and Fisher's exact test could explore the difference in mean or percentage between predefined groups, for example, length of visit or percentage referral for counseling between female and male providers.
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between men for example
between brackets for example
between accounts for example
between groups for forearm
between variables for example
between individuals for example
between paralogs for example
between washings for example
between groups for skin
between groups for baseline
between groups for age
between species for example
between classes for example
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