Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

Impact of Social Credit Scores on Trust and Reciprocity. by Alexander Genevsky (22581947)

Image_1_Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients.tif by Zijing Ran (11429935)

“…By multiple regression model, ΔSU was identified to be a significant determinant variable of decrease in VFA (beta, 0.302; p = 0.001).…”

Results of government support moderating the relationship between perceived trust and support. by Qiong Zhou (169101)

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Multivariate linear regression models for three approaches. by Bulent Gucyetmez (849602)

Summary of significant treatment × time effect. by Wensheng Xiao (16557866)

Variations in the mean force coefficients. by Shantanu S. Bhat (5446082)

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Mean number of co-authored reports by each resident per rotation. by Emile B. Gordon (17027639)

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CFU-Mk is significantly decreased by GATA1s overexpression in <i>GATA1s</i> strains. by Shiori Matsuo (10492159)

Comparing demographic data (mean values). by Tamer Shousha (10960632)

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Preprints comprise a significant portion of COVID-19 research. by Mariia Levchenko (3590192)

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Multiple linear regressions for the predictors of the 24 character strengths and 6 virtues between the two groups. by Ghina Ghazeeri (766076)

Mean case duration before and after intervention (t-statistic = -3.35, p <i>< </i>0.001), indicating a statistically significant difference in means. by Mohammad Bakhtiari (11838264)

Categories of drug company payments to NHS trusts, 2015–2018. by Piotr Ozieranski (7640876)

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Increase in vaccination intentions after watching treatment videos. by Ulrich T. Jensen (12359589)

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The mean and standard deviation of parameters. by Sadaf Sepasgozar Sarkhosh (20436143)

ANOVA a test of the linear regression model. by Dania AL-Najjar (11840857)

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Linear regression between PCDD/F TEQ and ∑PCDD/F in different study areas. by Matti Viluksela (321291)

Linear regression between PCB TEQ and PCDD/F TEQ in different study areas. by Matti Viluksela (321291)

Characteristics of respondents (n = 1,096). by Hocheol Lee (3958376)

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