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mean regression » meta regressions (Expand Search), linear regression (Expand Search)
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mean regression » meta regressions (Expand Search), linear regression (Expand Search)
decrease » increase (Expand Search)
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1
The Grid Iron Patterns & Detached Villas as the Main Drivers of Sharjah City’s Urban Sprawl
Published 2021“…On the other hand, the same study proved that the grid system and the villa model are the main reason behind the urban sprawl of the city. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Moreover, the proposed algorithm demonstrated excellent prediction accuracy with a mean absolute error (MAE) of <b>3.89</b> years, <b>3.64 </b>years, and <b>4.49</b> years for GM, WM, and CSF regions, confirming that changes in WM volume are significantly associated with normal brain aging. …”
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The epidemiology of hepatitis C virus in Central Asia: Systematic review, meta-analyses, and meta-regression analyses
Published 2019“…Random-effects meta-regression analyses were performed on general population studies. …”
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Prevalence and clinical significance of antiphospholipid antibodies in patients with coronavirus disease 2019 admitted to intensive care units: a prospective observational study
Published 2022“…Although the presence of antiphospholipid antibodies (aPLs) has been proposed as a possible mechanism of COVID-19-induced coagulopathy, its clinical significance remains uncertain. Therefore, this study aimed to evaluate the prevalence and clinical significance of aPLs among critically ill patients with COVID-19. …”
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Herpes simplex virus type 1 epidemiology in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions
Published 2019“…Random-effects meta-analyses were implemented to estimate pooled mean HSV-1 seroprevalence. Random-effects meta-regressions were conducted to identify predictors of higher seroprevalence. …”
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Microbiome‐modulating nutraceuticals ameliorate dyslipidemia in type 2 diabetes: A systematic review, meta‐analysis, and meta‐regression of clinical trials
Published 2023“…Data were pooled using random‐effects meta‐analysis and reported as mean differences with 95% confidence intervals (CIs). …”
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The effect of microbiome-modulating therapeutics on glucose homeostasis in metabolic syndrome: A systematic review, meta-analysis, and meta-regression of clinical trials
Published 2024“…We pooled data using random effects meta-analyses, reporting them as mean differences (MDs) with 95 % confidence intervals (CIs), and conducting univariate linear model meta-regressions. …”
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through...
Published 2021“…Main outcome measure: mean reflectivity of retinal and choroid layers. …”
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The effect of microbiome-modulating probiotics, prebiotics and synbiotics on glucose homeostasis in type 2 diabetes: A systematic review, meta-analysis, and meta-regression of clin...
Published 2022“…Data was pooled using random effects meta-analyses and reported as mean differences with 95% confidence intervals (CIs), followed by univariate linear model meta-regression.…”
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Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
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Modeling of photovoltaic soiling loss as a function of environmental variables
Published 2017“…The ANN model performed significantly better in predicting daily ΔCIas well as cumulative CI than the linear model in term of R2 values and statistical error indexes. …”
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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
Published 2019“…The ANN model outperforms other regression models, such as a linear regression model, M5P decision tree and gaussian process regression (GPR) model. …”
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A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making
Published 2024“…Long-term monthly maps of daily total solar radiation have been produced which consist of 12 monthly maps for global horizontal irradiance (GHI) and 12 monthly maps for direct normal irradiance (DNI) for each month of the year. A significant improvement of 9.15% and 9.32% in GHI and DNI estimation has been observed after calibration, which brings down the Normalized Root Mean Square Error (NRMSE) to 4% and 11.70% for GHI and DNI respectively as compared to the non-calibrated satellite data estimation.…”
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Self-reported awareness and attitude of cancer patients towards clinical nurse coordinators
Published 2017“…Linear regression showed that participants on chemotherapy had significantly better perception (higher scores) compared to participants on concurrent therapies (β = -3.91, p = .049). …”
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Association Between Three-Months Vitamin D Supplementation and Depressive Symptomatology incidence among Saudi Arabian Adults
Published 2022“…Furthermore, the change between both groups was significantly different (-7.61 ±4.03 in the Vitamin D group, -3.50±1.54 in the control group; p=<0.001) Conclusion: The present study shows thata 50.000 IU/week dose of vitamin D supplementation for 3 months was enough to increase vitamin D levels beyond sufficient and decrease depression symptoms in Saudi Arabian Adults. …”
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Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study
Published 2025“…Head injury and bleeding were the leading causes of mortality in the study cohort. There was a significant decrease in the trend of geriatric trauma over the years. …”
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Nurses’ work environment and intent to leave in Lebanese hospitals
Published 2011“…Regression analysis revealed that for every 1 point score decrease on career development there was a 93% increase in likelihood of reporting intent to leave country. …”
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Peripheral inflammatory and metabolic markers as potential biomarkers in treatment-resistant schizophrenia: Insights from a Qatari Cohort
Published 2024“…Multivariate analysis highlighted significant differences in platelet count, mean platelet volume (MPV), TG, HbA1c, BMI, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), and ferritin among the groups. …”