MS decreases the larger amplitude distribution in adult rats. by Jesús David Ayala-Rodríguez (17364296)

Geographical distributions of the selected significant predictors of monthly average temperature. by Ta-Chien Chan (185120)

“…<p>Geographical distributions of the selected significant predictors of monthly average temperature.…”

Percentage of US adults with health insurance coverage by income-level, age 60 to 70 years. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with healthcare access by income level¹. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with prescription medications by income level¹. by Rahul Aggarwal (4428457)

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Baseline characteristics of the US population ages 64 and 66 years by income level¹. by Rahul Aggarwal (4428457)

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Measures of access and affordability by income level, age 57 to 73 years. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with financial strain due to medical bills by income level¹. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment at age 65 years on healthcare access, prescription medications, and financial strain by education level¹. by Rahul Aggarwal (4428457)

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A noxious temperature decrease without a prior increase produces a subtly larger decrease in pain intensity. by Benedict J. Alter (9745466)

CKO mice display decreased skin barrier function and perturbed homeostasis. by Kevin J. Mills (9270966)

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The average number of predictors selected as significant by each method under each <i>N.</i> by A. D. V. Tharkeshi T. Dharmaratne (12200879)

“…<p>The average number of predictors selected as significant by each method under each <i>N.…”

The Boruta algorithm model shows significant predictors with green boxplots. by Samer Mheissen (8748501)

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

Most significant predictors for the three most frequently studied outcomes. by Emmanuelle Sylvestre (4796061)

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Points represent regions where the cluster coefficient was significantly larger in HC compared to MCI, at sparsity level of 0.15. by Therese M. Gilligan (7460906)

The statistical significance of Kendall’s correlation coefficient values between predictor and outcome variables is crucial for feature selection. by Xiaobo Qi (758907)

“…<p>The statistical significance of Kendall’s correlation coefficient values between predictor and outcome variables is crucial for feature selection.…”

Importance ranking and significance test results. by Yumei Liang (8661069)

Scatter plots of the contrast gradient versus the outcomes for which the contrast gradient is a significant predictor. by Qiuyu Du (20760848)

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Definitions, formulas and significances of the selected topographic factors. by Shima Esmailpour (20489428)