The significance of predictor variables from the randomised (100) Poisson GLM models for the proximal group. by Stella Gachoki (16024540)

The significance of predictor variables from the randomised (100) Poisson GLM models for distant trap groups. by Stella Gachoki (16024540)

Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis. by Chiara E. Hampton (16484687)

Independent predictors of receiving ECR. by Deanna H. Wong (11812836)

Subjects: “…retrospective analysis using…”

Visual representation of the spatial autocorrelation of residuals from the model for each response variable for the full season all taxa dataset, for which honey bee abundance was... by Sydney H. Worthy (16541959)

Predictor variables used for land use/ land cover (LULC) future prediction. by Maysoon A. A. Osman (16641628)

Subjects:

All-variable XGBoost model on the ‘significant illness’ binary using the primary decision-maker dataset. by Richard Barrett-Jolley (739341)

All-variable XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

“…<p>(a) Receiver operating characteristic curve of a prediction model containing all variables (owner, animal and healthcare). This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”

These files contain the STATA program codes used in the study. by Yeo Ju Sohn (18536198)

Subjects:

Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

“…<p>(a) Receiver operating characteristic curve of a reduced prediction model only containing owner and animal variables. This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”

Predictors’ importance on the pH. by Bulent Gucyetmez (849602)

“…The multivariate linear regression model was used to determine pH’s independent variables. In the multivariate linear regression model, pH was significantly increased by each unit increase in Na, K, Ca, and Mg (mmol L^-1). …”

Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the primary decision-maker dataset. by Richard Barrett-Jolley (739341)

“…<p>(a) Receiver operating characteristic curve of a reduced prediction model only containing owner and animal variables. This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”

Species richness decreases significantly with increasing percent disturbance. by Catherine L. Cardelús (6429320)

Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

Post-RARP urinary continence recovery stratified by voided volume change. by Yuta Takeshima (818627)

Subjects:

Mixed effects cox regression showing predictors of viral suppression using hazard ratios among persons with post-ART viral load tests in Jamaica, 2017–2019. by Anya Cushnie (11269155)

Subjects:

Predictors of coronary hyperemic DPV decrease after percutaneous coronary intervention. by Eisuke Usui (12111855)

Subjects:

Distribution of the frequency increase of connectives at the constructional level according to their statistical significance. by Francisco J. Rodríguez-Muñoz (7573025)

Significant predictors of PTSD trajectories among postpartum women, Northwest Ethiopia, 2021. by Marelign Tilahun Malaju (12401482)

Statistically significant linear increase in use of antidementia medications and antipsychotics during the observed time period. by Jelena Filimonovic (22305307)