Estimating RSA Variability in Each SCP Condition. by Hikari Otsuka (18605246)

Estimates (±SE) of multinomial models indicating significant differences among three studied pairs (compared with nest 3). by Ülo Väli (5574074)

Significant disease phenotypes with LADA loci. by Margaret Sunitha Selvaraj (13994016)

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Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Estimating RSA Variability across Treatment, Time, and Condition. by Hikari Otsuka (18605246)

The effect of HA digestion and HA replenishment alone or with CS on barrier function measured by TEER. by Charlotte J. van Ginkel (20790466)

“…PS decreased TEER. (C) Different treatments (treatment groups n = 8)with HA and/or CS did not affect TEER recovery after PS treatment, full recovery was seen in all groups after 24 hours. …”

The flow chart of temperature estimation. by Wang Runke (13256851)

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Median estimates of an extracellular recording. by Ariel Burman (20329776)

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Standardized estimation of centrality index. by Song Chen (69646)

Study characteristics and estimates of <i>Giardia</i> infection prevalence associations. Statistically significant values are bolded. by Kareem Hatam-Nahavandi (7384790)

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Summary statistics from significant disease associations. by Margaret Sunitha Selvaraj (13994016)

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Estimation of face-to-face distance and pose (angles). by Atsushi Nakazawa (15892700)

Forest plot for the significant MR association between four mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

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Top pathways detected by the enrichment analysis of the hub-genes whose degree decreased from IL and PL to LHB. by Souvik Seal (12437166)

Descriptive statistics†. by Raimundo Atal (18272064)

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Robustness of results. by Raimundo Atal (18272064)

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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). …”

Estimation results of three spatial econometric models. by Xiaofan Zhang (841027)

Estimation of the occupied surplus effect and descriptive statistics. by Lina Yu (1731598)

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Estimator robustness against extreme outliers. by Ariel Burman (20329776)

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