Statistical significance of differences in the AUC values presented in Fig 5. by Erdi Çallı (11210568)

Demographic distributions of the patients and significant differences between the training and test datasets. by Kenta Ninomiya (9969368)

Point-mass model. by Guilong Xu (13281902)

Significant normalized fiber length and velocity differences between generic and subject-specific models. by Riad Akhundov (11999308)

“…End of weight acceptance phase depicted as the blue line. Areas of significant difference, as determined by statistical parametric mapping (grey). …”

The linear aging model does not provide significant differences in redundancy between age groups. by Marilyn Gatica (13608174)

Statistically significant different spike count statistics. by Michelle F. Craft (11457756)

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Flow diagram of different experiments and the study process. by Omid Mehrpour (9385929)

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The wound appearance of different groups during the period of study (a) and the percentage of wound reduction in treated groups on different days (b). by Omid Mehrpour (9385929)

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Number of significant simulations and median differences (ms) across the different comparisons. by Conrad Perry (552918)

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Statistically significant differences between early and late respondents. by Md. Shawmoon Azad (17705909)

Species assigned toe each time bin for text Fig 1. by Brendan M. Anderson (11234356)

Significant differences from the response surface experimental design. by M. Camila Patiño-González (20529067)

Box plots representing comparisons of PVS volumes across different variables with statistical comparison annotations for TP(a), DOSE(b), Shunt(c), Anesthesia(d), and Sex(e). by Ruitian Song (11045127)

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PVS ratio comparisons across different variables using box plots with statistical comparison annotations for TP(a), DOSE(b), Shunt(c), Anesthesia(d), and Sex(e). by Ruitian Song (11045127)

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Significant variables of the MLR model. by Salem Hamoud Alanazi (19746254)

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Significant variables for all the models. by Salem Hamoud Alanazi (19746254)

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Bacterial taxa significantly different between treatment diets. by Ditte Olsen Lützhøft (10837857)

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Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

There is no significant differences in fatigue measurements between case and control. by Anandita Ananthakumar (9690121)

Selected feature clusters of four models and the significant difference test of clinical features. by Jing Li (10611)

“…<p>Selected feature clusters of four models and the significant difference test of clinical features.…”