Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

“…The higher the value of mean decrease accuracy or mean decrease Gini score, the higher the importance of the variable in the model.…”

Comparison of mean differences in temperature decreases. by Hans-Jörg Gillmann (8460585)

“…<p>Patients are grouped according to receiving either dipyrone (blue; n = 341) or acetaminophen (red; n = 71) versus patients receiving no antipyretic treatment (n = 315). Graphs display mean differences in temperature decreases between each two comparators (no medication versus dipyrone, no medication versus acetaminophen and dipyrone versus acetaminophen) with their respective 95% confidence intervals. …”

<i>In vitro</i> 95% CI lower and upper mean susceptibility responses of field isolates to antimalarials. by Winnie Okore (14139712)

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Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

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Effect of melatonin (50 μM) on the TGF-β1 (10 ng/mL, 72 h)-mediated TGF-β1/Smad pathway and EMT in HBdSMCs. by Yang Zhang (30734)

Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula? by Isa Sincer (7234577)

“…Several studies have shown the association between mean platelet volume (MPV) and cardiovascular diseases. …”

Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Homogenizing experiment: Mean fecal egg counts (FECs), mean relative differences from the grand mean FECs per sample (over 7 observations), standard deviation of the relative diffe... by Felix Bosch (10024550)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

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Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

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Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

First and second mean values and intraclass correlation coefficients (ICCs) of each parameter in pattern electroretinogram. by Soo Ji Jeon (3364214)

Identification of Gut Microbiota Biomarker Genera Distinguishing Wild and Captive Animals (A) Top 50 discriminative genera selected by random forest classifier, ranked by mean decrease accuracy. by Lin Xu (94491)

Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

Mean score of school factors by SES over years. by Benti Geleta Buli (15417868)

Cumulative distribution of EQ-5D-3L utilities decreasingly ordered before and after the onset of cutaneous leishmaniasis symptoms. by Janaína de Pina Carvalho (12152812)

Tax expression is associated with decreased cellular motility. by Saumya Ramanayake (7879091)

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Means for global competence pre- and post-test scores. by Esther Kim (2996622)