Granger causality test results. by Yueting Zhang (1422331)

Interaction network showing all significant correlations between hair steroid levels, psychological distress and fatigue scores, and pulmonary function tests in sarcoidosis patients (n = 32). by M. J. G. van Manen (6843194)

Test of spatial correlation of urban digitalization and low-carbonization. by Siliang Guo (17181408)

A significant interaction of FC among cerebellar sub-regions and cerebral cortexes. by Mengling Shao (7450343)

Bar plot of multiple comparisons of means using Tukey’s honest significant difference (HSD) test. by Ghulam Sarwar (5900315)

Robustness test results. by Jinshui Huang (6550387)

Subjects:

Parallel trend test. by Jinshui Huang (6550387)

Subjects:

Heart expression pattern of the 21 significant genes at different heart development stages. by Enrique Audain (528623)

Medians, interquartile range of the behaviours which resulted significantly different among sessions and Mann-Whitney U-test results. by Ilaria Pollastri (13170489)

The DMF model reproduces the statistically significant differences in the high-order interactions of redundancy. by Marilyn Gatica (13608174)

Post-Test Feasibility Outcomes for Chatbot Condition. by Laura M. Vowels (5866649)

The level of drug-drug interactions in the study participants. by Eyayaw Ashete Belachew (13840796)

Robustness test 1. by Wenyi Zhou (8381733)

Robustness test 2. by Wenyi Zhou (8381733)

Ergometer and dynamometer used to test isometric leg strength. by María Venegas-Carro (14600101)

Discriminant validity test (HTMT value). by Mengjuan Fan (14710387)

Results of ANOVA for testing the score variations between nursery centers. by Keiko K. Fujisawa (14599807)

Power comparisons of the four tests (TOW-GE, ISKAT, WSS and CMC) for testing GE interaction effects of rare variants on a continuous outcome when there are no main effects (n = 2000, significance level of <i>α</i> = 0.05). by Zihan Zhao (7145996)

“…<p>Power comparisons of the four tests (TOW-GE, ISKAT, WSS and CMC) for testing GE interaction effects of rare variants on a continuous outcome when there are no main effects (n = 2000, significance level of <i>α</i> = 0.05).…”

Power comparisons of the four tests (TOW-GE, ISKAT, WSS and CMC) for testing GE interaction effects for rare variants on a continuous outcome when there are main effects (n = 2000 and the significance level of <i>α</i> = 0.05). by Zihan Zhao (7145996)

“…<p>Power comparisons of the four tests (TOW-GE, ISKAT, WSS and CMC) for testing GE interaction effects for rare variants on a continuous outcome when there are main effects (n = 2000 and the significance level of <i>α</i> = 0.05).…”

This is the likelihood ratio test of homogeneity versus heterogeneity of error variances. by Moshood A. Bakare (13113560)

Subjects: