Selection of significant factors associated with AKI in pediatric patients by LASSO regression model. by Danchi Lu (19508301)

Multiple linear regression model predicting lateral jump distance; derived with full trial set, relative variables. by Charles R. Reiter (15338835)

Subjects:

Multiple linear regression model predicting lateral jump distance; derived with full trial set, absolute variables. by Charles R. Reiter (15338835)

Subjects:

Operationalisation of study variables. by Juliet Hassard (13837216)

Reliability analysis and comparison to criterion for power variables derived from AO3 (values in mean and 95%IC). by Filipe A. B. Sousa (12290179)

Performance of the derived prediction score (ApHAC score) in (A) the derivation cohort and (B) the validation cohort. by Takenori Aoki (22298334)

Subjects:

Significant eQTLs in dendritic cells. by Victor E. Nieto-Caballero (18824507)

Contribution and permutation importance of variables derived through Maxent modeling (average of 100 experiments). by Li Shen (110858)

Multivariate analysis comparing established prognostic biomarkers from the literature to variables identified as significant in the multivariate analysis, utilising a forward selec... by Celine Garrett (10987932)

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n_empirical = 305 units from 5 recording sessions, n_shuffled = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n_empirical = 180 units from 4 recording sessions, n_shuffled = 18000 simulated units from 4 recording sessions). …”

Variables by source and country. by Neil Cockburn (2175580)

Individual variable results. by Neil Cockburn (2175580)

Variables and their measuring items. by Anna T. Mikulec (17319553)

Regression results of mediation variables’ influence on adoption of ASS. by Yanfei Wang (513529)

Scatter plot depicting the accuracy of XGB treatment response predictions in relation to the number of noisy variables added to the original seven clinical variables. by Stephen D. Auger (22470045)

Subjects:

Expression of serum c-miRNAs significantly modulated by the 4 months LI protocol. by Prabu Paramasivam (9043106)

Continent wise averaged variables from 2000 to 2019. by Ruwan Jayathilaka (9557787)

WT1 and LANA expression correlate with decreased T cell infiltrates. by Ayana E. Morales (17756335)

Plots showing patient age distributions, living with aggressor, educational level and legal derivation in each cluster. T test analysis shows no significant differences between means of age: p = 0.756 (A). Chi square association shows no significance (p = 0.21) between living with aggressor state and cluster (B). Educational level frequencies in the two clusters, with 0 indicating no studies, 1: medium, 3: university, and 4: postgraduate studies show significant difference between both clusters, with a p value of 0.037 (C). Distribution of legal derivation (0 = NO, 1 = YES) with respect to the cluster shows significant association between both variables with a p value of 0.0063 (D). by Isabel María Benjumeda Wynhoven (21474154)

“…Distribution of legal derivation (0 = NO, 1 = YES) with respect to the cluster shows significant association between both variables with a p value of 0.0063 (D).…”

Significant regression coefficients derived from the mixed multiple random-effects regression with one-year carious increment (ΔDT_{1st molars}) as dependent variable. by Hélène Pichot (656490)

“…<p>Significant regression coefficients derived from the mixed multiple random-effects regression with one-year carious increment (ΔDT_{1st molars}) as dependent variable.…”