Socioeconomic status and left ventricular ejection fraction decline in breast cancer survivors following receipt of doxorubicin (PREVENT WF-98213) by Arnethea L. Sutton, Nathaniel S. O’Connell, Alexander R. Lucas, Kristine C. Olson, Kerryn W. Reding, Vanessa B. Sheppard, Bonnie Ky, Kathryn J. Ruddy, Kathryn E. Weaver, W. Gregory Hundley

“…., household income, education) were collected via a survey at a baseline and EF was assessed using magnetic resonance imaging. Linear regression models showed that prior to treatment, no SES factors were associated with LVEF. …”
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Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

“…Abstract Multiple linear regression models were trained to predict the degree of substitution (DS) of cellulose acetate based on raw infrared (IR) spectroscopic data. …”
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Self-Reported Low Vitality, Poor Mental Health, and Low Dietary Restraint Are Associated with Overperception of Physical Exertion by Paula C. Chandler-Laney, David W. Brock, Barbara A. Gower, Jessica A. Alvarez, Nikki C. Bush, Gary R. Hunter

“…Overperception of exertion (perceived exertion physiological exertion) was inversely associated with vitality (r=−0.190, P<.05), mental health (r=−0.188, P<.05), and dietary control (r values range −0.231 to −0.317, P<.05). In linear regression modeling, vitality or mental health, and cognitive dietary restraint were independently associated with accuracy of perceived exertion, independent of age, ethnicity, and engagement in exercise during weight loss. …”
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An Integrated Framework for Mapping Nationwide Daily Temperature in China by Shaobo Zhong, Xinlan Ye, Mingxing Wang, Xin Mei, Dunjiang Song, Wenhui Wang

“…In the first phase, multivariate linear regression models were fitted between site-based observations of daily mean air temperature (Ta-mean) and MODIS land surface temperature products (including Terra day: TMOD-day, Terra night: TMOD-night, Aqua day: TMYD-day, and Aqua night: TMYD-night) conditional on some covariates of environmental factors. …”
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The Effect of Artichoke Leaf Extract on Alanine Aminotransferase and Aspartate Aminotransferase in the Patients with Nonalcoholic Steatohepatitis by Vajiheh Rangboo, Mostafa Noroozi, Roza Zavoshy, Seyed Amirmansoor Rezadoost, Asghar Mohammadpoorasl

“…To compare the role of Cynara scolymus use with placebo in changes in study parameters, multivariate linear regression models were employed indicating higher improvement in liver enzymes and also lipid profile particularly triglycerides and total cholesterol following administration of Cynara scolymus in comparison with placebo use. …”
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Correlates of Depressive Symptoms in Older Adults with Diabetes by LaRita C. Jones, Olivio J. Clay, Fernando Ovalle, Andrea Cherrington, Michael Crowe

“…Correlations and hierarchical linear regression models were utilized to examine bivariate and covariate-adjusted correlates of depressive symptoms. …”
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Relationship of Maize Yield to Climatic and Environmental Factors under Deficit Irrigation: A Quantitative Review by M. Gloriose B. Allakonon, P. B. Irénikatché Akponikpè

“…The authors defined grain yield variation (GYv) and variation of irrigation water use efficiency (IWUEv) as response variables and used simple and multiple linear regression models for data analysis. Overall, maize response to deficit irrigation is significantly correlated to the water stress level (WD). …”
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Kinetic Modelling of Betalain Stability and Color Changes in Yogurt During Storage by Onur Guneser

“…The half-life period of the degradation of red beet betalains was found as 51.43, 30.91, and 4.54 days at 4°C, 10°C, and 20°C, respectively. Multiple linear regression models were also established for betalain content and color parameters. …”
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Correlation between the Systemic Immunoinflammatory Index and Platelet–Lymphocyte Ratio in Patients with Adenomyosis by Yan Dong, YaHui Chen, YaNan Wang, Lin Wang, Yan Zhou, Mei Xue, Lin Sun

“…Multiple segmented linear regression models showed a significant relationship between SII and PLR in both SII < 1,326.47 (β 0.14, 95% CI: 0.12, 0.16; P<0.0001) and >1,326.47 (β 0.02, 95% CI: −0.01, 0.05; P = 0.2461). …”
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Final-year university students’ mental health and access to support as they prepared to graduate by Megan J. Magier, Madelyn Law, Sarah Pennisi, Tanya Martini, Markus J Duncan, Hussain Chattha, Karen A Patte

“…Chi-square and linear regression models analyzed relationships between sociodemographic characteristics and mental health outcomes. …”
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Glycemic Index and Glycemic Load and Their Association with C-Reactive Protein and Incident Type 2 Diabetes by Geertruida J. van Woudenbergh, Anneleen Kuijsten, Eric J. G. Sijbrands, Albert Hofman, Jacqueline C. M. Witteman, Edith J. M. Feskens

“…Dietary GI and GL were derived from a food-frequency questionnaire and its association with CRP was examined cross-sectionally using linear regression models. The association of GI and GL with diabetes incidence was examined using Cox proportional hazard models. …”
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Psychosocial and mental health status among older adults in China during the COVID-19 pandemic: A cross-sectional study by Sheng Luo, Yulin Chai, Xiaohui Yang, Mengxue Wang, Lin Wang, Yuxi Wang, Yuxiu Liu

“…Correspondence analysis and multiple linear regression models were employed to examine factors influencing the mental health of older adults. …”
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Association of Social Engagement with Brain Volumes Assessed by Structural MRI by Bryan D. James, Thomas A. Glass, Brian Caffo, Jennifer F. Bobb, Christos Davatzikos, David Yousem, Brian S. Schwartz

“…The volumes of 20 regions of interest (ROIs), including total brain, total gray matter (GM), total white matter (WM), each of the four lobar GM and WM, and 9 smaller structures were derived from T1-weighted structural magnetic resonance images. Linear regression models adjusted for age, education, race/ethnicity, intracranial volume, hypertension, diabetes, and control (versus lead worker) status. …”
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Survey of Indoor Air Pollution Health Literacy among Community-dwelling Adults in Taiwan by Jia-Ling Wu, Yu-Han Huang, Yi-Chin Huang, Chien-Cheng Jung, Pei-Chen Lee, Ming-Yeng Lin, Wen-Hsuan Hou, Chung-Yi Li

“…We used weighted multiple linear regression models to identify covariates significantly associated with overall and four matric-specific IAPHL scores. …”
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A Cross-Sectional Study of the Association between Autoantibodies and Qualitative Ultrasound Index of Bone in an Elderly Sample without Clinical Autoimmune Disease by Rosebella A. Iseme, Mark McEvoy, Brian Kelly, Linda Agnew, Frederick R. Walker, Michael Boyle, John Attia

“…The relationship between each autoantibody and bone mass was determined using linear regression models. Anti-nuclear autoantibodies were the most prevalent, positive in approximately 11%, and borderline in roughly 23% of our sample. …”
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Association of BMI and WC for insulin resistance and type 2 diabetes among Brazilian adolescents by Cesar Pirajá Bandeira, Beatriz D. Schaan, Felipe Vogt Cureau

“…To study the association between adiposity categories and the occurrence of insulin resistance, linear regression models were used. Results: The prevalence of T2DM for the same BMI category did not increase with the presence of high WC. …”
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Associations between ACE-Inhibitors, Angiotensin Receptor Blockers, and Lean Body Mass in Community Dwelling Older Women by Jennifer W. Bea, Sylvia Wassertheil-Smoller, Betsy C. Wertheim, Yann Klimentidis, Zhao Chen, Oleg Zaslavsky, Todd M. Manini, Catherine R. Womack, Candyce H. Kroenke, Andrea Z. LaCroix, Cynthia A. Thomson

“…Multivariate linear regression models, adjusted for relevant demographics, behaviors, and medications, assessed ACE-I/ARB use/nonuse and LBM associations at baseline, as well as change in LBM over 3 and 6 years. …”
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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

“…We tested three machine learning (ML) models based on random forest (RF) models, generalised additive models (GAMs), and linear regression models (LMs). Next, we compared the results to three simple models that link soil thickness to slope gradient (Simple-S/linear interpolation and SFM/log-normal distribution) and elevation (Simple-Z/linear interpolation). …”
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Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed by Nurhussen Mehammednur Seid, Birru Yitaferu, Kibebew Kibret, Feras Ziadat

“…Topographic attributes and the normalized difference vegetation index (NDVI) were used to provide information about the spatial distribution of soil properties using clustering and statistical techniques for the 56 km2 Gumara-Maksegnit watershed in Ethiopia. Multiple linear regression models implemented within classified subwatersheds explained 6–85% of the variations in soil depth, texture, organic matter, bulk density, pH, total nitrogen, available phosphorous, and stone content. …”
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Association between Pan‐Immune Inflammation Value and Sarcopenia in Hypertensive Patients, NHANES 1999–2018 by Lu Long, Bingquan Xiong, Zhidan Luo, Haiyan Yang, Qiang She

“…We used logistic and linear regression models, restricted cubic splines (RCS), and subgroup analyses to evaluate the relationship between pan‐immune‐inflammation value (PIV) and sarcopenia. …”
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