Test of Significance for High-Dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference by Huijie Feng (1515502)

“…The goal is to develop a hypothesis testing procedure for the significance of a single element in this parameter as well as of a linear combination of this parameter. …”

QTLs identified and their association with the KASP Markers based on significant difference by Kruskal-Wallis test. by Harpreet Singh (677440)

“…<p>QTLs identified and their association with the KASP Markers based on significant difference by Kruskal-Wallis test.</p>…”

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

LSD method significance test. by Jing Ruan (5117951)

“…Using the 2012–2020 CFPS data to measure and test the opportunity advantages and their differences across regions and groups in China. …”

Multivariate analysis for prediction of eradication success (* significant difference). by Eman Al Atrash (22139211)

Variation in residence time of COD in the representative reach section under different pier densities. by Haibin Xiong (11778010)

Subjects:

Change in average COD concentration peak value and arrival time at different cross-sections. by Haibin Xiong (11778010)

Subjects:

Significant correlation between interocular differences in visual acuity in the TAC and optotype tests. by Hye Jun Joo (9040020)

“…<p>Significant correlation between interocular differences in visual acuity in the TAC and optotype tests.…”

Difference-in-difference tests, Experiment 1. by Achiel Fenneman (10196402)

“…We use preregistered experiments to disentangle these channels and test their limitations. Our results indicate the existence of a significant non-deliberate fluency effect, while the deliberate fluency effect can be activated and deactivated in boundary cases. …”

Difference-in-difference tests, Experiment 2. by Achiel Fenneman (10196402)

“…We use preregistered experiments to disentangle these channels and test their limitations. Our results indicate the existence of a significant non-deliberate fluency effect, while the deliberate fluency effect can be activated and deactivated in boundary cases. …”

Stars represent significant difference between low MI and high MI samples. by D. Elizabeth O’Hanlon (10739337)

Significant values for different uropathogens in different patient groups. by Hanne Margrethe Gilboe (11084144)

Model test results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Difference-in-difference model results for significant GHSI Indicators and World Bank Indices (2020–2022). by Tyler Y. Headley (13257084)

GTDE decreased the expression of the NLRP3 inflammasome and AGEs in the cerebral cortex. by Hui-Chuan Kuo (12368492)

Subjects:

Analysis of differences between bee groups by using Dunn’s test (significant species for only significant viruses). by Tugce Olgun (8967761)

“…<p>Analysis of differences between bee groups by using Dunn’s test (significant species for only significant viruses).…”

Results of significance tests using Kolmogorov-Smirnov and Kruskal-Wallis tests. by Marcelina Łoś (11266764)

The results of T-test for the significance testing of the differences between the considered criteria in solving large-sized problems. by Seyed Jafar Sajadi (12213268)

“…<p>The results of T-test for the significance testing of the differences between the considered criteria in solving large-sized problems.…”

Test model identification. by Paravee Maneejuk (17921250)

“…This study examines the impact of reopening countries to receive foreign tourists on the spread of COVID-19 in 2022, encompassing 83 countries worldwide. We employ spatial quantile models capable of analyzing the spatial impact of tourism on the spread of the virus at different quantile levels. …”

Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)