Behaviors with a significant main effect or interaction. by Grace Hecker (18813445)

Predictors of crude herbs use. by Raphael Joe Joachimdass (11419790)

S1 Data set - by Amal Paul (17319784)

Validation of psychophysiological measures as predictors of normative scores of the implicit induction stimulus set. by Keith A. Bush (5472590)

Data set supplementary information. by Eman A. Hammad (7807826)

Predictors included in the final development models. by Yijun Mao (21441443)

Subjects:

Inhibition of Timeless decreases A549 cell proliferation. by Ping Tian (697506)

Evaluation model indicators of test set. by Tianhua Chen (6124367)

Excessive LF4A kinase activity shortens cilia and decreases IFT. by Yu-Yang Jiang (7036916)

Significantly decreased necrosis observed on wheat leaves inoculated with <i>ΔZtknr4</i>. by Erika Kroll (20537020)

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

Both MRI and SR-PCI demonstrated significant decreases in clinically-relevant articular cartilage parameters. by Suranjan Bairagi (17087667)

Geniposide (Gen) significantly decreased the content of Hyp in bleomycin-induced PF mice’s lung tissue. by Jian-Bin Yin (19556105)

Performance for each of the feature sets, in terms of i) the LMER model fit (AIC), and ii) percentage of imitated drum sounds for which the rating ∼ distance slope is significantly... by Adib Mehrabi (7042160)

DataSheet_1_Decreasing Shortest Path Length of the Sensorimotor Network Induces Frontal Glioma-Related Epilepsy.pdf by Shengyu Fang (9134117)

“…Moreover, a decreased FC in the supplementary motor area and a shortening of the path’s length are additional characteristics of glioma-related epilepsy. …”

Baseline patient characteristics of patients and predictors of admission. by Prabhpreet Hundal (11767637)

Subjects:

Model rankings of Poisson GLM for large pelagic species richness in the 95% confidence set of models and the relative importance of each predictor variable. by Marta Cambra (11725685)

ROC curves for the training and validation sets. by Mengzhen Qin (18610312)

“…</p><p>Methods</p><p>Data from the 2018 China Health and Retirement Longitudinal Study were randomly partitioned into training and validation sets at a 7:3 ratio. Within the training set, least absolute shrinkage and selection operator (LASSO) regression analysis and binary logistic regression were used to identify predictor variables, and a risk prediction column‒line graph was subsequently developed, with depression status among middle-aged and elderly individuals with SI as the dependent variable. …”

Calibration curves for the training and validation sets. by Mengzhen Qin (18610312)

S1 Data set - by Takuya Yuge (12911956)