Number of participants showing improved, decreased, or no change in task performance with and without PSAPs. by Maxime Perron (16618003)

Number and percentage of AE patients with detectable Em2+ antibodies at different visits and significance level in binominal test. by Beate Grüner (301524)

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Alveolar echinococcus (AE) patients staged into groups with progressive, with stable and cured disease. by Beate Grüner (301524)

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Predictors of SCD. by Iftikhar Ali Ch (20783753)

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Amalgamation of plasma complement proteins with classical biomarkers significantly improved the stratification of Alzheimer's disease by Liming Shen (8533629)

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

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GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

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

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

Logistics regression COVID-19 vaccine predictors. by Adaobi Uchenna Mosanya (20384248)

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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)

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Paired Correlations of serum levels of cytokines and chemokines (in pg/ml) in AE patients, with age (in years), EmAg-specific IgG4 responses (OD values), stage of AE disease (4:pro... by Beate Grüner (301524)

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

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

Predictor importance for predicting stock market using neural network and linear predictor. by Dania AL-Najjar (11840857)

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

Standard scaling of predictors and response. by Bara Lo (10133624)

Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

Incorporation of staging information significantly improved the accuracy of latent-temporal progression inference. by Xiaoqiang Sun (493308)

Model extension significantly improves description of experimental measurements. by Daniel Rüdiger (6377681)