Predictors of Clinical Outcomes in Autologous Cranioplasty by Saleh Safi (17542455)

“…In bivariate analysis, pre-cranioplasty GOS good grades 4 and 5 (P < 0.001), trauma as an indication for decompressive craniectomy (DC) (P < 0.001), and early cranioplasty ≤12 weeks (P = 0.023) were statistically significant predictors for post-cranioplasty neurologic recovery at follow-up. …”

Predictors of diabetes fatalism among Arabs by Bassil, Maya

“…Age (β = −.14, 95% CI −.27, −.002), BMI (β = .35, 95% CI .15; .54), level of education (β = −3.98, 95% CI −7.64; −.32) and number of diabetes problems (β = −5.03, 95% CI −9.89; −.18) were significantly associated with diabetes fatalism in the regression model. …”
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Predictors and outcomes of patient safety culture in hospitals by Dimassi, Hani

“…Two of the composites, in addition to a patient safety grade and the number of events reported, represented the four outcome variables. Bivariate and mixed model regression analyses were used to examine the association between the patient safety culture predictors and outcomes. …”
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Metabolic Predictors of Equine Performance in Endurance Racing by Anna Halama (545988)

“…We identified a set of six metabolite predictors (imidazole propionate, pipecolate, ethylmalonate, 2R-3R-dihydroxybutyrate, β-hydroxy-isovalerate and X-25455) of animal performance in endurance competition; the resulting model had an area under a receiver operating characteristic (AUC) of 0.92 (95% CI: 0.85–0.98). …”

Procrastination on social media: predictors of types, triggers and acceptance of countermeasures by Abdulaziz Alblwi (18520041)

“…Following a survey of 288 participants from the UK (n = 165) and the Kingdom of Saudi Arabia (n = 123), we conducted a series of multiple regression and binary logistic regression models to determine predictors of these factors. Several predictors such as self-control and conscientiousness were found to be significant predictors, but overall, the amount of variance explained by the regression models was relatively low. …”

Being an older refugees in Türkiye: predictors of mental health and quality of life by Yaser Snoubar (14634232)

“…The data were analyzed through ordinal and linear regression models, and significant predictors were identified.…”

Health-related quality of life as a predictor of tuberculosis treatment outcomes in Iraq by Dujaili, Juman Abdulelah

“…In a direct logistic regression model, only the FACIT-TB total score made a statistically significant contribution towards predicting the likelihood that a patient would have a favourable TB treatment outcome. …”
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Scope and Predictors of Travel Medicine Practice among Primary Care Physicians in Qatar by Ayman Al-Dahshan (8962568)

“…Overall, pretravel advice content and frequency including vaccine and malaria chemoprophylaxis recommendations were inadequate. Significant predictors of high frequency of pretravel consultations (≥10/month) included male PCPs (AOR 1.78, 95% CI: 1.01, 3.18), PCPs who had postgraduate training or experience in TM (AOR 2.74, 95% CI: 1.59, 4.72), and multilingual (speaking ≥3 languages) physicians (AOR 1.96, 95% CI: 1.12, 3.45). …”

Personality traits as predictors of vulnerability to persuasion in social engineering amongst risk-aware targets by Aya Muhanad (22827410)

“…Additionally, we found no significant differences in vulnerability between the Arab and UK samples. …”

Diabetes fatalism and its emotional distress subscale are independent predictors of glycemic control among Lebanese patients with type 2 diabetes by Bassil, Maya

“…Fully adjusted multiple linear regression models showed that higher scores on diabetes fatalism and the emotional distress subscale (P = 0.018) were significantly associated with higher HbA1c values. …”
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Adherence as a Predictor of Glycemic Control Among Adolescents With Type 1 Diabetes: A Retrospective Study Using Real-world Evidence by Sohayla A. Ibrahim (17380351)

“…</p><h3>Implications</h3><p dir="ltr">The current findings suggest that nonadherence was highly prevalent among adolescents with T1DM and was a significant independent predictor of glycemic control, explaining 9% of the variability. …”

Inflammatory biomarkers as predictors for unlocking antidepressant efficacy: Assessing predictive value and risk stratification in major depressive disorder in a prospective longit... by Nervana Elbakary (21480140)

“…Statistical analyses, including multiple regression and Random Forest machine learning models, identified predictors of antidepressant response. …”

Development of Seed Variables Prediction Models for Use in Dynamic Backcalculation of FWD Data by Nasr, Cynthia

“…The OOB-Estimate of error rate and the overall accuracy values obtained dictate that the predictor variables selected to build the RF models are efficiently trained and generate accurate predictions for all seed variables except for the Rayleigh Damping Parameter of the PCC layer “”. …”
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Structural equation modeling of public transport use with COVID-19 precautions: An extension of the norm activation model by Muhammad, Ashraf Javid

“…The Structural Equation Modeling method was applied to analyze the collected 1516 complete responses. …”
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An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach by MAGHAYDAH, SAFWAN SULEIMAN MGHIED

“…The ANN analysis, conducted to avoid overfitting and to analyze nonlinear correlations, showed the superiority of ANN predictions over traditional regression methods, indicating high levels of precision and reliability of the ANN models. Sensitivity analysis highlighted technology characteristics as the most significant predictor of task-technology fit. …”
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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

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Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants by Mohannad N. Khandakji (13885434)

“…We trained the model on 80% of the expert reviewed variants by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium and tested its performance on the remaining 20%, as well as on an independent set of variants of uncertain significance with experimentally determined functional scores.…”

Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age by Assaker, Guy

“…We confirm that DI predicts satisfaction and has a significant direct and indirect effect on loyalty. After examining the validated structural model across different groups of respondents based on gender, age, and the gender by age interaction, we found that the model constructs differ across some of the groups. …”
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Screening for antenatal depression and its determinants among pregnant women in Qatar: revisiting the biopsychosocial model by Sarah Naja (9954737)

“…The logistic regression analyses revealed that the Comprehensive Biopsychosocial model forecast 89% of antenatal depression predictors provided Area Under the Receiver Operating Characteristic Curve of 0.89 at a 95% confidence interval [0.85 to 0.92].…”

Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach by Ahmad Abujaber (9100064)

“…We aimed to build a machine learning predictive model to predict the in-hospital mortality for patients who sustained Traumatic Brain Injury (TBI).…”