The Impact of Child Dental Caries and the Associated Factors on Child and Family Quality of Life by Marziyeh Shokravi, Fatemeh Khani-Varzgan, Mohammad Asghari-Jafarabadi, Leila Erfanparast, Behjat Shokrvash

“…To assess the underlying predictors of ECOHIS as a whole scale and the dimensions as a linear regression model were used as univariate and multivariate. …”
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The Association between 25-Hydroxyvitamin D and Hemoglobin A1c Levels in Patients with Type 2 Diabetes and Stage 1–5 Chronic Kidney Disease by Farshad Kajbaf, Romuald Mentaverri, Momar Diouf, Albert Fournier, Said Kamel, Jean-Daniel Lalau

“…A multivariate linear regression model was used to determine whether 25(OH)D and HbA1c levels were independently associated after adjustment for a number of covariates (including erythrocyte metformin levels). …”
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Adherence to Antihypertensive Medications in Iranian Patients by Azin Behnood-Rod, Omid Rabbanifar, Pirouz Pourzargar, Alireza Rai, Zahra Saadat, Habibollah Saadat, Yashar Moharamzad, Donald E. Morisky

“…There was a negative linear association between the MMAS-8 score and systolic BP (r=-0.231, P<0.001) as well as diastolic BP (r=-0.280, P<0.001). In linear regression model, overweight/obesity (B=-0.52, P=0.02), previous history of admission to emergency services due to hypertensive crisis (B=-0.79, P=0.001), and getting medication directly from drugstore without refill prescription in hand (B=-0.51, P=0.04) were factors recognized to have statistically significant association with the MMAS-8 score. …”
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Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study by Lucas Almeida Andrade, Carlos Dornels Freire de Souza, Wandklebson Silva da Paz, Danilo de Gois Souza, José Augusto Passos Góes, Emerson Lucas Silva Camargo, Álvaro Francisco Lopes de Sousa, Liliane Moretti Carneiro, Isabel Amélia Costa Mendes, Karina Machado Araújo, Allan Dantas dos Santos, Márcio Bezerra-Santos

“…We applied the segmented log-linear regression model to assess temporal trends. For spatial analysis, we used the local empirical Bayesian estimator and Moran indices. …”
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Burden, Positive Aspects, and Predictive Variables of Caregiving: A Study of Caregivers of Patients with Pediatric Glaucoma by Yingting Zhu, Jinyun Gao, Xinyan Li, Qiongman Yang, Yu Lian, Huiming Xiao, Wenmin Huang

“…The CBI and the PAC scores were analyzed in relation to each other and different characteristics of the patients with PG and their caregivers through a generalized linear regression model. Result. Most of enrolled 57 caregivers were found to act with a moderate level of burden and benefits. …”
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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

“…To assess near-wellbore zone permeability, a multiple linear regression model was built. In order to improve the statistical metrics of regression of the near-wellbore zone permeability, the dependence of this parameter on the specific productivity coefficient in the conditions of a carbonate reservoir was studied and divided into clusters. …”
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Factors Influencing the Serum Uric Acid in Gout with Cerebral Infarction by Yi Li, Hongyi Yang, Yao Tian, Lihua Duan

“…After excluding factors with no significant statistical effect, only age, gender, smoking, CRE, and TG were included in the multiple linear regression model. It suggested that smoking, CRE, and TG are positively correlated with the sUA level, while age was negatively correlated with the sUA level. …”
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Health literacy and influencing factors in university students across diverse educational fields in Kazakhstan by Zhaniya Dauletkaliyeva, Zhanerke Bolatova, Nurbek Yerdessov, Karina Nukeshtayeva, Olzhas Zhamantayev, Aliya Takuadina, Gaukhar Kayupova

“…A multivariate linear regression model was used to define determinants of HL. …”
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Gastrointestinal Dysfunction Impact on Life Quality in a Cohort of Russian Patients with Parkinson’s Disease I-III H&Y Stage by A. A. Pilipovich, O. V. Vorob’eva, S. A. Makarov, N. N. Shindryaeva, Yu D. Vorob’eva

“…Results. The linear regression model showed that the PDQ-39 SI depended on summary assessments GSRS-SI (β = 0.333, p<0.001), BDI (β = 0.463, p<0.001), and UPDRS III (β = 0.163, p<0.05). …”
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Frequency Nadir Constrained Unit Commitment for High Renewable Penetration Island Power Systems by Xuebo Liu, Xin Fang, Ningchao Gao, Haoyu Yuan, Andy Hoke, Hongyu Wu, Jin Tan

“…The constraints are formulated using a linear regression model that takes advantage of real-world, year-long generation scheduling and dynamic simulation data. …”
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Therapeutic implications and comprehensive insights into cellular senescence and aging in the tumor microenvironment of sarcoma by Pengfei Zan, Yi Zhang, Yidong Zhu, Qingjing Chen, Zhengwei Duan, Yonghao Guan, Kaiyuan Liu, Anquan Shang, Zihua Li

“…Three genes, RAD54, PIK3IP1, and TRIP13, were selected to construct a multiple linear regression model. Validation cohorts, immunohistochemistry, and quantitative reverse transcription polymerase chain reaction confirmed that the predictor derived from these three genes possessed prognostic and pathological relevance. …”
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Development of Pavement Condition Index and Roughness Index Relationship for Optimal Pavement Maintenance Strategies: A Case Study of Johnstone Road. by Bogere, David

“…The R² value is simply the square of the correlation coefficient (r) when you're dealing with a simple linear regression model. Since the PCI is a measure of road pavement conditions (on a scale typically ranging from 0 to 100), an RMSE of 7.77 means that the model's predictions for PCI are, on average, about 7 to 8 PCI units off from the actual value. …”
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Participatory Project Implementation and Sustainability of Government Funded Projects a Case study of Parish Development Model in Kabale District, Uganda by Moses, Agaba, Turyasingura, John Bosco

“…An analysis of the data was done using a linear regression model. According to the findings of a regression study, participatory project implementation has a favorable impact on the effectiveness of parish development models in Kabale District (coef = -0.890, p-value = 0.000). …”
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Prediction of Liver Steatosis and Fibrosis Based on Clinical Variables Using a Large National Survey Database by Yanal Alnimer, Touleen Alnimer

“…An increase in age, serum triglyceride, and body mass index were associated with a statistically significant increase in liver steatosis; in contrast, females had statistically significantly lower values for liver steatosis by 15 points in the multivariable linear regression model. Serum LDL, smoking, and systolic and diastolic blood pressure are poorly associated with liver steatosis in the adaptive lasso regression. …”
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Evaluation of the effect of dental caries, oral hygiene, and treatment need on oral health-related quality of life among Turkish orphan children and adolescents by Ecem Akbeyaz Şivet, Berkant Sezer, Neslihan Atmaca, Narmin Hüseynova, Betül Kargül

“…The relationship between oral health-related quality of life and explanatory variables was evaluated using a multivariable linear regression model. Results The mean age of the participants was 12 ± 1.79 years. …”
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High Levels of Hemoglobin Promote Carotid Adventitial Vasa Vasorum Neoangiogenesis in Chronic Kidney Disease by Maria Vittoria Arcidiacono, Montserrat Martinez-Alonso, Montserrat Belart, Ana Vilar, Marisa Martín, Lourdes Craver, Àngels Betriu, Dídac Mauricio, José Manuel Valdivielso, Elvira Fernández, Mercè Borràs

“…Importantly, a multiple linear regression model showed hemoglobin levels > 12.5 g/dL as the factor for an estimated higher aVV of the right carotid artery. …”
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Investigation of factors that affect post-fire recovery of photosynthetic activity at global scale by Yicheng Shen, I. Colin Prentice, Sandy P. Harrison

“…We then examined the factors that influence post-fire recovery time, initially using the relaxed lasso technique to identify the most important factors and then using a linear regression model incorporating these factors. We show that vegetation characteristics, the characteristics of the fire, and post-fire climate all influence recovery time. …”
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Blood pressure, gallstones, and age at first cholecystectomy in U.S. adults: a cross-sectional study by Yue Zhang, Ruifeng Duan, Xin Chen, Lijuan Wei

“…The two-piecewise linear regression model and logarithmic likelihood ratio test elucidated the inflection point of systolic blood pressure (SBP) on the age at first cholecystectomy. …”
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Healthcare Workers’ General Health and Its Relation with Anxiety, Anger, and Posttraumatic Stress Disorder during COVID-19 Outbreak in Southeast Iran by Alireza Malakoutikhah, Leila Ahmadi Lari, Pooya Baharloo, Rasmieh Al-Amer, Mohamed Alnaiem, Hossein Khaluei, Mahlagha Dehghan

“…The results of the multiple linear regression model that showed anxiety, anger, gender, and hospital were predictors of mental health (P<0.05). …”
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Are Emirati consumers in United Arab Emirates open to alternative proteins? Insights into their attitudes and willingness to replace animal protein sources by Sajid Maqsood, Feyisola Fisayo Ajayi, Hussein Mostafa, Kehinde Ganiyat Lawal, Juliet Mubaiwa, Noora Alantali, Maryam Alshihhi, Meera Aldhaheri

“…Data was analyzed using Pearson Chi-square to correlate two demographic variables and linear regression to identify predictors that influence the participants to shift toward alternative proteins.ResultsAbout 51.2% of Emiratis were familiar with alternative proteins, with 74% preferring plant-based options. Using linear regression model, the following were factors influencing willingness to replace meat: (i) meat, dairy and cereal attachment, (ii) sustainability awareness, (iii) awareness of alternative proteins, (iv) nutrition consciousness, (v) availability of alternative proteins, (vi) taste of alternative proteins products, and (vii) advertisement. …”
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