The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Results of significance for regression factors. by Junxia Zhou (14381598)

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Significant condition. by Junxia Zhou (14381598)

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The results of linear mixed model. by Soheila Qanbari (20455173)

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Multiple linear regression analysis results. by Muxi Chen (9294270)

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Linear contact model. by Qingwen Li (1510687)

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Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

Summary of the expected results with corresponding hypotheses. by Marcel F. Hinss (14675457)

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Linear regression analysis results for the effect of log-transformed urinary BPA concentrations at two time points on serum thyroid concentrations at ages 10–12. by Jung Eun Choi (563339)

Results of the generalized linear mixed model (GLMM) for correct responses in the speech recognition task. by Elena Bolt (20396190)

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Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

Results of linear mixed models (LMMs) on linguistic timescale tracking for the phrase, word, syllable, and phoneme rates. by Elena Bolt (20396190)

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Results from linear regression analysis for δ¹³C or δ¹⁵N and collection date. by Nathan D. McTigue (10706460)

Differences in mean number of papers (top) and co-authors (bottom) depending on (1) NI membership and (2) time joined NI. by William C. Barley (8915282)

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Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). by William C. Barley (8915282)

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Networks favouring more connected individuals results in a significant decrease to the likelihood of network recovery. by Adam Lee Miles (14123916)

Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

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STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period. by Jelena Filimonovic (22305307)