Method of determining the order of predictors in model. by Sarah Weir (11938602)

Subjects:

Data_Sheet_3_Ovarian Sensitivity Decreased Significantly in Patients With Insulin Resistance Undergoing in vitro Fertilization and Embryo Transfer.xlsx by Yanjun Zheng (5126723)

Data_Sheet_1_Ovarian Sensitivity Decreased Significantly in Patients With Insulin Resistance Undergoing in vitro Fertilization and Embryo Transfer.xlsx by Yanjun Zheng (5126723)

Data_Sheet_2_Ovarian Sensitivity Decreased Significantly in Patients With Insulin Resistance Undergoing in vitro Fertilization and Embryo Transfer.xlsx by Yanjun Zheng (5126723)

Prioritising public information leads to an overall decrease in cooperation occurring in networks. by Adam Lee Miles (14123916)

Accuracy of predicted municipality-level winter wheat yields as a function of an acceptable error. by Keach Murakami (11576825)

Subjects:

List of the proteins that increased or decreased significantly with the progression of liver fibrosis. by Kumiko Shirai (13014884)

Subjects:

Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Average starting HR decreases as classes occur later during the morning. by Diana K. Darnell (8067143)

Predictors of SCD. by Iftikhar Ali Ch (20783753)

“…Similarly, patients with EF > 40% had decreased incidence of SCD compared to those with EF < 40% (HR 0.347, 95% CI:0.158–0.763; p = 0.008). …”

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

Subjects:

Significant adaptations in gut composition occur during and after chemoradiotherapy. by Molly B. El Alam (10231830)

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

Prediction accuracy experimental results. by Muyang Li (72477)

“…In the simulation experiment, when an unexpected accident occurs, the prediction accuracy of the model decreases, but the prediction performance of the optimized algorithm proposed here is significantly higher than that of the traditional model. …”

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

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

Pavlovian bias in the punishment domain decreased in the anodal session (accuracy). by Hyeonjin Kim (188712)

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

“…This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”

Newly occurring LTSA-MD cases in workers for over a month. by Yasuhiko Deguchi (3167955)

Logistic regression for influenza results predictors. by Reem Eid (20889732)