Multivariable linear regression analyses for predicting factors. حسب Maurice Pradella (11678817)

Shear stress-strain responses of the reticulocyte membrane at decreased connectivity of the cytoskeleton. حسب He Li (176971)

Statistically-significant cytokine changes between the pre-infusion and post-infusion blood draws plot of the mean (dot) and confidence interval (whiskers) for the coefficients of... حسب Jordan K. Abbott (8934239)

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Linear mixed effects models. حسب Theofilos Gkinopoulos (10284613)

Multiple linear regression results. حسب Ana Tomažič (12908557)

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

MCMC results for non-linear two-pool model. حسب Alexander P. Browning (6908948)

Identifiability analysis for the non-linear two-pool model. حسب Alexander P. Browning (6908948)

Univariable and Multivariable linear regression analysis for operation time. حسب Daisuke Koike (2427925)

Geometric significance. حسب Liangliang Yang (3814120)

Multilevel linear regression analysis. حسب Zuo Wang (8502849)

Multiple linear regression analysis: Predictors of CHEOPS score. حسب Jiyoun Lee (1878409)

The slope homogeneity test and the linearity test. حسب Duc Hong Vo (10515374)

Independent variables assignment in multiple linear regression analyses. حسب Zhihao Han (1422319)

Linear Programming-Based Preprocessing Algorithm and Tightening Constraints for Multiperiod Blend Scheduling Problems حسب Yingkai Song (5638580)

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Linear Programming-Based Preprocessing Algorithm and Tightening Constraints for Multiperiod Blend Scheduling Problems حسب Yingkai Song (5638580)

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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. حسب 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). …"

Tuned hyperparameters for linear regression. حسب Sherin Kularathne (18864348)

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Summary of multiple linear regression. حسب Emmanuel Dapilah (20324135)

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Hyperparameters for robust linear regression. حسب Sherin Kularathne (18864348)

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