Overview of occupation types. by Yanrong Liu (537906)

Characteristics of patients who decreased their screen time by more than 60 minutes after the challenge. by Annaëlle Le Steunf (19838110)

Effect of DMT type on CIMT. by Elyar Alizadeh Najmi (20291071)

“…Linear regression analysis identified age as the most significant predictor of increased CIMT in pwMS (<i>p</i> < 0.001), followed by BMI (<i>p</i> = 0.054).…”

School type, location, students’ enrolment and required sample size. by Nayab Ali (775603)

Means, standard deviations and intercorrelations. by Cheri Ostroff (13868468)

Types of treatment given to SAM and non-SAM children (Developed by authors). by Masuzgo Rodney Pajogo (22339676)

Heat map and k-means clustering of proteins (384) for which any Vpu-mutant was significantly different from wild type. by Charlotte A. Stoneham (10819125)

Predictor variables. by Sasja Maria Pedersen (11880264)

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

Sample sizes for 18 types of big data jobs positions. by Yingjie Lu (283162)

Subjects:

Permutation tests assessing the effects of predictor variables (Sex and Type site) on prey composition at the family level and evaluating the significance of RDA axes, with Site as a conditional factor. by Catarina Simões (819967)

Different steps of the fabrication process. by Md. Abu Daud (21485629)

Predictor coefficients for the model predicting OSCC relapse. by Padmanabha Kumar Govindaraj (11873391)

Subjects:

Transition probabilities and class sizes for three-step LTA model (N = 432). by Carolin Oetzmann (11397968)

The mean absolute SHAP values for all predictors. by Ali Golestani (4651399)

“…<div><p>Background</p><p>Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. …”

SHAP beeswarm summary plot of all predictors. by Ali Golestani (4651399)

“…<div><p>Background</p><p>Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. …”

Univariate effect sizes for significant continuous variables. by Eileen H. Helmer (14797141)

Univariate effect sizes for significant discrete variables. by Eileen H. Helmer (14797141)

Coding system for the Level-2 predictors. by Dongil Kim (567231)

Phenotypic distributions of attack severity, egg puncture occurrences and pre-attack heights within cross-types and their significance. by Jaroslav Klápště (203291)