Cardiovascular disease essential medicines listing by countries: changes over time and association with health outcomes by Camila Heredia, Moizza Zia Ul Haq, Adelaide Buadu, Amal Rizvi, Aine Workentin, Navindra Persaud

“…Methods In this cross-sectional study, national essential medicines’ lists from 158 countries were analysed on whether or not they included medicines to treat ischemic heart disease, cerebrovascular disease, and hypertensive heart disease. A linear regression model was used to evaluate the association between countries’ coverage scores and amenable mortality. …”
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Demineralization Depth Using QLF and a Novel Image Processing Software by Jun Wu, Zachary R. Donly, Kevin J. Donly, Steven Hackmyer

“…The statistical linear regression method was applied to analyze these data. The linear regression model was Y=0.32X+0.17, where X was the percent loss of fluorescence and Y was the depth of demineralization. …”
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Identifying Cladribine prescription pattern in MS: an Italian multicentre study by Aurora Zanghì, Roberta Fantozzi, Matteo Foschi, Elisabetta Signoriello, Matilde Inglese, Giacomo Lus, Diego Centonze, Andrea Surcinelli, Tommaso Sirito, Simona Bonavita, Carlo Avolio, Emanuele D’Amico

“…A generalized linear regression model was built for the outcome DMT after Cladribine course. …”
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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

“…The model uses an integration approach, Light Gradient Boosting Machine, Random Forest and Back Propagation Neural Network models are used as the first-level base models to learn the data, and the Linear Regression model as a meta-model integrates the output of the base model to obtain the final prediction results. …”
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The method for impact analyzing of duplex plasma nitriding and DLC coatings on the cyclic performance of 16MnCr5 piston pin steel under plain and fretting fatigue testing by Mobin Dizisaz, Mohammad Sadegh Aghareb Parast, Mohammad Azadi

“…In the results of the Poisson regression model for all fatigue data, the McFadden Pseudo R² was 94.92 %, and the Adjusted McFadden Pseudo R² was also 94.92 %. For the linear regression model analyzing all logarithmic fatigue data, the R² was 92.87 %, the Adjusted R² was 90.75 %, and the Predicted R² was 82.76 %.…”
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WORKLOAD DYNAMICS OF MEDICAL PROFESSIONALS IN BULGARIAN HEALTHCARE SYSTEM: EVIDENCES FROM AGGREGATE DATA by Nikolay Atanasov, Krikor Indjian

“…Workload estimates are derived from a linear regression model of hospital output as the dependent variable with the number of doctors and nurses in the health system as factors. …”
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Coronary artery disease-associated genetic variants and biomarkers of inflammation. by Morten Krogh Christiansen, Sanne Bøjet Larsen, Mette Nyegaard, Søs Neergaard-Petersen, Ramzi Ajjan, Morten Würtz, Erik Lerkevang Grove, Anne-Mette Hvas, Henrik Kjærulf Jensen, Steen Dalby Kristensen

“…A genetic risk score was calculated to assess the combined risk associated with all the genetic variants. A multiple linear regression model was used to assess associations between the genetic risk score, single SNPs, and the five inflammatory biomarkers.…”
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Association of dietary intake with cancer of the digestive system: a cross-sectional study by Xinxin Qin, Litao Ge, Song Wu, Wei Li

“…Descriptive analysis was used to explore the demographic characteristics of the participants and p-values were calculated using a weighted linear regression model. Categorical variables were described as percentages, and p-values were calculated using weighted chi-square tests.ResultsWe found that protein, vitamin B1, calcium, and iron intake were positively associated with colorectal cancer; vitamin B2 and phosphorus intake were negatively related to colorectal cancer; dietary folate and vitamin B12 intake were negatively associated with gastric cancer; vitamin D and copper intake were positively associated with gastric cancer; vitamin E intake was negatively related to the development of hepatocellular carcinoma; and lycopene, vitamin B2, calcium, iron, and zinc intake was positively associated with the development of liver cancer. …”
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New frequency stability assessment based on contribution rates of wind power plants by SungHoon Lim, KangWon Seo, Jung-Wook Park, Kwang Y. Lee

“…The proposed index is then calculated using a multiple linear regression model that incorporates these factors. Therefore, this index provides a comprehensive evaluation of SGs and WPPs in terms of their contribution to frequency stability, offering valuable insights into their roles in supporting three key frequency stability indicators, the rate of change of frequency, frequency nadir, and settling frequency. …”
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Association between Urinary N-Acetyl-Beta-D-Glucosaminidase and Microalbuminuria in Diabetic Black Africans by Francis Patrick Udomah, Udeme Ekpenyong Ekrikpo, Emmanuel Effa, Babatunde Salako, Ayodeji Arije, Solomon Kadiri

“…A multivariate linear regression model showed a significant linear relationship between NAG/creatinine ratio and albumin/creatinine ratio after adjusting for the effect of blood pressure, age, sex, and serum creatinine. …”
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Non-linear research on artificial intelligence empowering green economic efficiency under integrated governance framework by Zhichun Song, Yao Deng

“…This paper examines the impact of artificial intelligence (AI) on green economic efficiency (GEE) using panel data from 30 provinces in China spanning 2011–2020. A multiple linear regression model, alongside various endogeneity and robustness tests, is applied to ensure reliable findings. …”
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Relationship between albumin-globulin ratio and prostate-specific antigen: a cross-sectional study based on NHANES 2003–2010 by Simeng Gao, Shaojie Li, Baofang Wu, Jiayin Wang, Sijuan Ding, Zhaohui Tang

“…A two-segment linear regression model was used to conduct threshold effect evaluations. …”
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Value Chain Analysis of Highland Bamboo (Yushania alpina) in Banja District, Awi Zone, Ethiopia by Mulat Mengstu, Asmamaw Alemu, Chernet Worku, Sosina Bezie

“…The result of multiple linear regression model indicated that the land size allocated for bamboo plantation, number of culm harvested, access of market information, and silviculture management practice positively affected the market supply of bamboo culm, whereas distance to the market affected the market supply of bamboo culm negatively and significantly. …”
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Impact of climate change and human activities on the sustainable development of Xinjiang Aksu Oasis (China) by Duan Zhengrong, Ni Mingxia, Tao Ya, Marcin Sobota, Xia Jianxin

“…Based on the time series data during the observation period, it is assumed that the predicted variables have a linear function relationship with time, and is fitted into a straight line, so that the straight line can reflect the changing trend of the variables themselves, namely, a linear regression model. Results and conclusions: From 1961 to 2016, Aksu Oasis climate in general showed a "warm and wet" trend. …”
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Effects of Highway Landscapes on Drivers’ Eye Movement Behavior and Emergency Reaction Time: A Driving Simulator Study by Fengxiang Guo, Mingyuan Li, Yao Chen, Jian Xiong, Jaeyoung Lee

“…The results show that emergency reaction time is significantly influenced by highway landscapes and alignments, and the multiple linear regression model built in this experiment could accurately predict drivers’ emergency reaction time in different highway landscapes and alignments.…”
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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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Predictive value of an unsupervised web-based assessment of the neuropsychological function by Michelle Werrmann, Yesim Gür-Tok, Michael Eid, Michael Niedeggen

“…This classification was supported by the preceding online screening (sensitivity = 0.75, specificity = 0.80), and a linear regression model identified two significant predictors (free recall performance, form discrimination in visual short-term memory). …”
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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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