Apathy in Parkinson’s Disease: An Electrophysiological Study by Stéphane Mathis, Jean-Philippe Neau, Claudette Pluchon, Marie-Noëlle Fargeau, Stéphane Karolewicz, Anna Iljicsov, Roger Gil

“…We have found a correlation between the apathy score and amplitude of novelty P300 during the ON period and also a correlation of the apathy score with a decrease in amplitude of P300 during the OFF period. In a linear regression model, changes in the P300a predicted the severity of apathy independently of any other variable. …”
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Affordability, negative experiences, perceived racism, and health care system distrust among black American women aged 45 and over by Jacqueline Wiltshire, Carla Jackie Sampson, Echu Liu, Myra Michelle DeBose, Paul I Musey, Keith Elder

“…In the initial linear regression model excluding perceived racism, higher levels of distrust were observed among women reporting affordability problems (β = 2.66; p = 0.003) or negative experiences with a healthcare provider (β = 3.02; p = <0.001). …”
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Tweetluenza: Predicting Flu Trends from Twitter Data by Balsam Alkouz, Zaher Al Aghbari, Jemal Hussien Abawajy

“…Furthermore, a linear regression model leverages the reporting tweets to predict the Influenza-related hospital visits in the future. …”
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The Accuracy of Ankle Eccentric Torque Control Explains Dynamic Postural Control During the Y-Balance Test by Shojiro Nozu, Kristin A. Johnson, Tsukasa Tanaka, Mika Inoue, Hirofumi Nishio, Yuji Takazawa

“…Tibialis anterior and soleus muscle activities were simultaneously recorded during testing. A step-wise linear regression model was used to determine the best model predicted the MRD of the PM-YBT (PM-MRD)…”
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New Approach for the Calculation of the Intraocular Lens Power Based on the Fictitious Corneal Refractive Index Estimation by Joaquín Fernández, Manuel Rodríguez-Vallejo, Javier Martínez, Ana Tauste, David P. Piñero

“…The SE relative to the intended target was correlated to the difference between real ELP and the value estimated by SRK/T (ΔELP) (r = −0.47, p=0.002), but this only predicted 22% of variability in a linear regression model. The fictitious index for the specular reflection (nk) and Scheimpflug-based devices (nc) were significantly correlated with axial length. …”
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Relationship between Driving Pressure and Mortality in Ventilated Patients with Heart Failure: A Cohort Study by Qilin Yang, Jiezhao Zheng, Xiaohua Chen, Weiyan Chen, Deliang Wen, Xuming Xiong, Zhenhui Zhang

“…We used multivariable logistic regression models, a generalized additive model, and a two-piecewise linear regression model to show the effect of the average driving pressure within 24 h of intensive care unit admission on in-hospital mortality. …”
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The Increasing Financial Impact of Chronic Kidney Disease in Australia by Patrick S. Tucker, Michael I. Kingsley, R. Hugh Morton, Aaron T. Scanlan, Vincent J. Dalbo

“…Prevalence and expenditure predictions were made using a linear regression model. Direct statistical comparisons of rates of annual increase utilised indicator variables in combined regressions. …”
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Credit Risk Management and Profitability of Commercial Banks in Uganda: A Case of Centenary Bank Kabale Branch. by Tushemereirwe, Charity

“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that risk identification (r=0.882), risk assessment (r=0.776), and risk controls (r=0.829) had a positive significance on the Centenary Bank Kabale Branch’s profitability. …”
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Performance Appraisal and Employee Performance in Tertiary Institutions: A Study of National Teachers’ Colleges. by Ndagire, Immaculate

“…To determine the associations between the predictor and dependent variables at the bivariate level, a Pearson correlation matrix analysis was carried out. A linear regression model was used to fit the data. Research findings from the regression model show that performance standards (R=862), performance measurement (R=756 and result dissemination (R=829) have a positive significance on the employee’s performance at National Teachers’ Colleges. …”
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Attributable Costs of Postoperative Atrial Fibrillation among Patients Undergoing Cardiac Surgery by Pattamawan Kosuma, Sitichok Wachirasrisirikul, Arom Jedsadayanmata

“…POAF was an independent predictor and increased cost by 23% in linear regression model. On average, patients with POAF had higher medical costs than those without POAF (269,000 versus 218,999 Thai Baht (THB)) with a mean difference of 50,000 THB (1,667 USD). …”
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

“…<h4>Conclusions</h4>From 1994 to 2018, under-5 mortality in Bangladesh decreased by 76.72%. While the Linear Regression model demonstrated exceptional accuracy in forecasting trends, long-term predictions should be interpreted cautiously due to inherent uncertainties in socio-economic conditions. …”
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Effects of Oil Drops and the Charcoal’s Proximate Composition on the Air Pollution Emitted from Charcoal Barbecues by Kuo-Pin Yu, Yen-Chi Chen, Yun-Jhe Miao, Sepridawati Siregar, Yu Wei Tsai, Whei-May Grace Lee

“…., CO, CO2, NOx, hydrocarbons (HCs), benzene, toluene, formaldehyde, acetaldehyde, PM2.5, and trace metals (Al, Cr, Cu, Fe, and Zn). A linear regression model was employed to verify the major factors affecting the EFs. …”
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Socioeconomic factors associated with the number of children ever born by married Ghanaian females: a cross-sectional analysis by Felix Boakye Oppong, Divine Darlington Logo, Dennis Boateng, Ephraim Kumi Senkyire

“…Three separate models were considered: linear regression model using CEB and two logistic regression models. …”
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Educational Intervention of Intention Change for Consumption of Junk Food among School Adolescents in Birgunj Metropolitan City, Nepal, Based on Theory of Planned Behaviors by Upendra Kumar Singh, Nirmal Gautam, Tulsi Ram Bhandari, Nirmal Sapkota

“…Pretest and Posttest group study design and simple random sampling techniques were used. A multiple linear regression model and a paired t-test were used to assess the effectiveness of an educational intervention program. …”
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Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China by Ze-Hao Jiang, Xiao-Guang Yang, Tuo Sun, Tao Wang, Zheng Yang

“…A White’s test is conducted to test the homoscedasticity of the data and a multiple linear regression model is employed to investigate the relationship between traffic crashes and violations. …”
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Blood Management and Risk Assessment for Transfusion in Pediatric Spinal Deformity Surgery by Pedro Fernandes, Joaquim Soares do Brito, Isabel Flores, Jacinto Monteiro

“…Pearson’s correlation identified patient body weight (r = 0.245, p=0.001) and Cobb angle (r = 0.175, p=0.017) as factors related to blood loss. A linear regression model to estimate hematic losses revealed that only body weight and transfusion showed predictive power, resulting in a low predictive model (R2 = 0.156; F(3,167) = 15.483, p<0.001). …”
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Screens and scars: SEM analysis of the relationship between childhood trauma, emotion regulation, and social media addiction by Nurten Elkin, Ashifa Kariveliparambil Mohammed Ashraf, Oğuzhan Kılınçel, Şenay KılınçeL, Maharshi Ranganathan, Aslıhan Kübra Sakarya, Ayşe Mücella Soydan

“…An analysis of the relationship between social media addiction and childhood trauma revealed that participants with childhood trauma had higher social media addiction. The linear regression model, including childhood traumas and emotion regulation difficulties for social media addiction scores, was statistically significant. …”
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Effect of Time of Cord Clamping on the Serum Bilirubin Level among Full-Term Babies Born in an Ethiopian Hospital Setting: An Exploratory Three-Arm Randomized Controlled Trial by Biruk Hailu Tesfaye, Mulugeta Betre Gebremariam, Abiy Seifu Estifanos, Asrat D. Gebremedhin

“…Descriptive analysis was applied to assess differences between groups in terms of demographic, obstetric, and social characteristics of the participants, while a linear regression model was employed to examine the association between cord clamping time and serum bilirubin level. …”
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Suicide risk model based on the interpersonal theory of suicide: evidence in three regions of Mexico by Modesto Solis-Espinoza, Juan Manuel Mancilla Díaz, Rosalía Vázquez Arévalo

“…Results: First, a multiple linear regression model was created to predict suicidal risk based on thwarted belongingness and perceived burden with 17% explained variance; then a second model was generated with the same variables and including other factors associated with suicide such as self-injury desires, impulsivity and suicide attempts, in addition to variables associated with family conflicts, improving the explained variance to 34%. …”
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Assessing the relationship between the distress levels in patients with irreversible terminal delirium and the good quality of death from the perspective of bereaved family by Pei Zhou, Cheng Tang, Jingyi Wang, Chunhua Zhang, Jun Zhong

“…Good quality of death was significantly and negatively related to the distress in patients with irreversible terminal delirium (r = -0.458, P<0.01).The multiple linear regression model indicates that TDDS score, CES score, types of diseases, smoking history, nutritional deficiency are important factor affecting the good quality of death. …”
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