Predictive value of IBI for acute kidney injury with contrast after PCI in patients with ST-segment elevation myocardial infarction by Wenjun Ge, Ying Zhang, Song Ge, Mei Chen, Yang Xu

“…After integrating IBI, the ability of the new model to predict CI-AKI in STEMI patients was significantly improved (NRI = 0.315, IDI = 0.019, P < 0.05).ConclusionElevated IBI is an independent risk factor for CI-AKI after PCI in STEMI patients, and there is a non-linear dose-response relationship between IBI and CI-AKI. …”
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The waiting time of admission to operation was associated with preoperative deep vein thrombosis in geriatric hip fracture by Wen-Si Qiang, Lu Dang, Yi-Lun Wu, Bin-Fei Zhang

“…Multivariate binary logistic regression and generalized additive models were used to identify the linear and non-linear associations between ATO and preoperative DVT. …”
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Association of urinary perchlorate, nitrate, and thiocyanate concentrations with pulmonary function in children aged 6–19 years by Linlin Yu, Shuang Shi, Li Shen, Tan Cheng, Guodong Ding, Xiaoping Jing

“…Exposure to perchlorate, nitrate, and thiocyanate was estimated by measuring urinary concentration, and pulmonary function was assessed by spirometry. Linear regression and generalized linear models were performed to estimate the associations of perchlorate, nitrate, and thiocyanate concentrations with pulmonary function measures. …”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…Linear discriminant analysis was chosen as the best-performing model. …”
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Parchment Glutamine Index (PQI): A novel method to estimate glutamine deamidation levels in parchment collagen obtained from low-quality MALDI-TOF data by Nair, Bharath, Palomo, Ismael Rodríguez, Markussen, Bo, Wiuf, Carsten, Fiddyment, Sarah, Collins, Matthew James

“…Finally, we employed a linear mixed effect model to predict the overall deamidation level of a parchment sample termed Parchment Glutamine Index (PQI). …”
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Health status, respiratory symptom and dyspnea trajectories in subjects with chronic obstructive pulmonary disease: a seven-year observation in clinical practice by Koichi Nishimura, Masaaki Kusunose, Ayumi Shibayama, Kazuhito Nakayasu

“…Annual changes were estimated using linear mixed models and linear regression analysis. …”
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Exploratory study on the association of fish consumption with serum cotinine levels in the general adult population by Ning Zhu, Yusheng Li, Xiaoyan Jin, Mei Chen, Linfeng Wang, Chao Cao

“…Fish consumption frequency was assessed via dietary questionnaires, and serum cotinine levels were measured using validated high-performance liquid chromatography–tandem mass spectrometry. Multiple linear regression and restricted cubic spline (RCS) models were used to evaluate the association between fish consumption and serum cotinine levels, adjusting for potential confounders. …”
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Combined effects of dietary inflammatory index and vigorous physical activity on abdominal adipose tissue: analysis of NHANES 2011–2018 by Shuoqi Li, Wenbo Fan, Yan Liu, Shiming Li, Wenbing Yu

“…Utilizing the initial 24 h dietary recall data from the NHANES database, our analysis incorporated 28 distinct food parameters for calculating the DII score. Multiple linear regression models are used to calculate the β value and 95% confidence interval of independent and dependent variables. …”
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Association between dietary inflammatory index and hepatic steatosis: cross-sectional evidence from the NHANES 2007–2020 by Zhounan Wu, Yuhang Liang, Li Zeng, Jiayi Fang, Jinshen He

“…Subsequently, a nomogram model based on these major dietary factors was constructed. …”
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Comparing the impact of Hydroxychloroquine based regimens and standard treatment on COVID-19 patient outcomes: A retrospective cohort study by Saja H. Almazrou, Ziyad S. Almalki, Abdullah S. Alanazi, Abdulhadi M. Alqahtani, Saleh M. Alghamd

“…All models were adjusted for age and gender variables. …”
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Association between the American heart association’s life’s essential 8 score and cognitive function: a cross-sectional NHANES study by Jiuyang Sun, Xinyu Tu, Shuwei Wang, Jie Wang, Jingxue Liang, Zhenguo Liu, Lu Song

“…Subjective cognitive performance was defined by self-reported cognitive problem. Multivariable regression models and restricted cubic spline models were applied to evaluate the association between LE8 score and two cognitive performances. …”
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Using High-Resolution Multispectral Data to Evaluate In-Season Cotton Growth Parameters and End-of-the-Season Cotton Fiber Yield and Quality by Lorena N. Lacerda, Matheus Ardigueri, Thiago O. C. Barboza, John Snider, Devendra P. Chalise, Stefano Gobbo, George Vellidis

“…For lint yield, the best regression model combined four VIs and explained 66% of the yield variability. …”
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INFLUENCE OF THE PARAMETERS OF A FORAGE CONDITIONING ROLL ON THE AIRFLOW FIELD by Qingmiao Xiang, Tianlin Zuo, Bei Wu, Zhuo Li, Huaiyuan Qian, Tianci Huang

“…The results of the field verification test show that, compared with the measured values for the prototype, the average error of the average velocity of the airflow around the single roll, predicted by the regression model, is 6.35%. The average error of the predicted velocity of the back-feeding airflow of the double roll is 5.86%. …”
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The neurocognitive mechanism underlying math avoidance among math anxious people by Jie Liu, Zhifeng Li, Jiawang Yang, Hao He, Fang Cui

“…Using an approach-avoid conflict paradigm and both general linear mixed model and Hierarchical Drift Diffusion Model (HDDM) regression analyses, we found their avoidance behavior is primarily driven by heightened sensitivity to task difficulty, rather than reward sensitivity. …”
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A Nonlinear Method for Component Separation of Dam Effect Quantities Using Kernel Partial Least Squares and Pseudosamples by Wenzhong Yin, Erfeng Zhao, Chongshi Gu, Hao Huang, Yang Yang

“…The presented results indicate that it is more reliable than traditional multiple linear regression models.…”
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Parking Demand Prediction Method of Urban Commercial-Office Complex Buildings Based on the MRA-BAS-BP Algorithm by Xiang Tang, Jianxiao Ma, Shun Zhou, Tianci Shan

“…As there are complicated linear and nonlinear relationships between parking demand and influencing factors, it is difficult to accurately predict parking demand using a single multiple regression analysis (MRA) model. …”
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Economic Growth Stimulant in Nigeria: Components and Combined Analysis by Francis E. Andem, Weniebi Zibigha, Francis I Ogosi

“…To analyze the data collected, simple and multiple linear regression models were used. The findings revealed that four components—the exchange rate, money supply, interest rate, and export—were statistically significant in stimulating the growth of the economy. …”
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Testing Cumulative Lexicalized Effects in Study Abroad: Variable Subject Pronoun Expression in Spanish as an Additional Language by Esther Brown, Tracy Quan, Javier Rivas

“…We conduct a mixed-effects linear regression model predicting overt <i>yo</i> (‘I’) expression. …”
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Acceptance of aging among Japanese adults aged 20–89 by Miho Nakajima, Hikari Kinjo

“…Generalized linear modeling and chi-square tests showed that ‘Muscular/joint changes and appearance’ were types of AARC negatively evaluated and challenging to accept, whereas ‘Illness/injury’ was also negatively evaluated but easier to accept. …”
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Contributions of Atmospheric Ridging and Low Soil Moisture to the Record‐Breaking June 2023 Mexico‐Texas Heatwave by Dmitri A. Kalashnikov, Deepti Singh, Mingfang Ting, Benjamin I. Cook

“…We apply constructed analogs with multiple linear regression models to quantify the contribution of different drivers to daily temperature anomalies during this heatwave. …”
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