Microcirculatory resistance index based on a single angiographic view predicts long-term prognosis following rotational atherectomy in patients with acute coronary syndrome by Xinbo Bai, Xiaohua Yu, Yufang Li, Zhe Zhang, Xuemei Guo, Yanan Xue, Luwa Gao, Kun Wang, Zhonghai Wei, Qing Dai, Biao Xu, Lina Kang

“…Univariate and multivariate Cox regression analyses were conducted to determine factors linked to MACCEs. …”
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Nonlinear association between body roundness index and metabolic dysfunction associated steatotic liver disease in nondiabetic Japanese adults by Cheng Huang, Zhichao Gao, Zhenxia Huang, Junfeng Xu

“…Although previous studies have explored the association between body roundness index (BRI) and MASLD, the specific relationship in non-diabetic Japanese adults requires further investigation. This study analyzed data from 15,299 participants enrolled in the NAGALA cohort (2004–2015) to explore the association between BRI and MASLD through multivariable logistic regression, stratified analysis, and restricted cubic spline modeling. …”
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Consumer adoption of food blockchain traceability: insights from integrating TAM and TR models by Wei Li, Ruiming Song, Kunpeng Yu

“…A survey was conducted with 322 supermarket consumers in Shenzhen, and data were analyzed using Structural Equation Modeling (SEM) and hierarchical multiple regression analysis. …”
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Mediating Role of Parental Support in the Relationship Between Immigrant Mothers’ Mental Health and Adolescents’ Self-Esteem by Yeseul Jeong, Sangyoun Jang

“…Methods: This study utilized data from 1077 Korean multicultural adolescents and their immigrant mothers from the 9th Multicultural Adolescents Panel data obtained in 2019. The data were analyzed using descriptive statistics, Pearson’s correlation, Baron and Kenny’s regression analysis, and bootstrapping using the process macro. …”
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Analisis Signifikansi Pengaruh Dividend Payout Ratio, Earning Per Share dan Debt to Equity Ratio terhadap Return Saham by Luh Putri Mas Mirayani, RR. Maria Yulia Dwi Rengganis, I Gusti Ayu Ratih Permata Dewi

“…Multiple linear regression analysis was employed to evaluate the relationships between variables. …”
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Investigating the effect of knowledge, attitude, and social marketing mixes on the behavior of consumption herbal medicines by patients by Mahdi Amraei, Effat Jahanbani Veshareh, Kambiz Ahmadi Angali, Amin Torabipour

“…Patients' attitude had the strongest positive relationship (r=0.579). Based on linear regression analysis, attitude, knowledge and place as the three main predictive factors had a positive effect on patients' consumption behavior. …”
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Developmental trajectories of maternal fear of childbirth at different times: a prospective longitudinal study by Qian Jing, Jiang Jie, Xu Ke, Yang Liu, Deng Xiumin, Li Xiuchuan, Li Jinzhi

“…The study subjects completed the W-DEQ A questionnaire to assess their prenatal fear of childbirth in early, mid, and late pregnancy, and the W-DEQ B questionnaire to assess their postnatal fear of childbirth in the postpartum period, and finally, the data were compiled and analyzed by using one-way analysis of variance, latent category growth model, and multivariate logistic regression analysis. …”
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CardioMEMS guided heart failure management in cardio-oncology patients: a tertiary care cancer center experience by Abdelrahman Ali, Maximillian Bourdillon, Hyeon-Ju Ryoo Ali, Juhee Song, Efstratios Koutroumpakis, Poonam Jewani, Shaden Khalaf, Ihab Hamzeh, Salil Kumar, Nicolas L. Palaskas, Jean-Bernard Durand, Cezar Iliescu

“…Post-implantation, we observed a reduction in HFH and improvements in pulmonary artery pressures. Cox regression identified prior HFH and elevated pulmonary artery systolic (PAS) and diastolic pressures (PAD) as risk factors for repeat HFH (HR: 1.24, 1.04, 1.07, respectively). …”
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Development and validation of a BMI stratified mortality prediction model for patients with COPD complicated by HF using the MIMIC-IV database by Jingwen Zhu, Yifan Wang, Shaoqiang Wang, Jihong Zhou

“…Univariate Cox regression analysis and multivariate Cox regression analysis were used to determine the risk factors for mortality in patients with different BMIs and to construct a prediction model. …”
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XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy by Wenhan Li, Wenhan Li, Yajing Zhou, Ziyu Luo, Ziyu Luo, Miao Tan, Miao Tan, Rui Yin, Jianhui Li, Jianhui Li

“…Random Forest (RF) and Lasso regression were used for feature selection. Furthermore, six ML models (KNN, Logistic Regression, RF, Classification Tree, SVM, and XGBoost) were developed and validated via 10-fold cross-validation, evaluating performance using area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, calibration curves, and decision curve analysis (DCA).Results17 variables were influential factors for diagnosing TNs. …”
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Association of 24-Hour blood pressure average real variability with poor prognosis in critically ill patients with coronary artery disease by Peng-fei Sun, Yan Chen, Yu-Qin Zhan, Pan-pan Shen, Chen-yang Wu, Yu-bin Shen, Ya-hui Ding

“…Endpoints included in-hospital and 1-year mortality, analyzed using logistic regression, Cox proportional hazards regression, and restricted cubic splines. …”
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PENGARUH PENGETAHUAN KEWIRAUSAHAAN DAN LINGKUNGAN KELUARGA TERHADAP MINAT BERWIRAUSAHA SISWA KELAS XI SMK ISLAM NUSANTARA COMAL KABUPATEN PEMALANG by Bety Anggraeni, Harnanik Harnanik

“…While the methods of analyzing the data were using percentage descriptive technique and multiple linear regression analysis. …”
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Effect of Gaza war on the mental health of different generations in Egypt by Nadira Mansour Hassan, Rabab Ahmed Hammad, Amira Ahmed Abd El karem

“…Anxiety and stress were reported by approximately two-thirds of students, 51.0% of mothers, and 45.0% of fathers. Multiple logistic regression analysis identified frequent exposure to war news as a shared significant predictor of severe and extremely severe levels of depression (p = 0.004), anxiety, and stress (p < 0.001). …”
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Improving genomic prediction for plant disease using environmental covariates by Charlotte Brault, Emily J. Conley, Andrew C. Read, Andrew J. Green, Karl D. Glover, Jason P. Cook, Harsimardeep S. Gill, Jason D. Fiedler, James A. Anderson

“…Three methods were compared, all aimed at predicting untested genotypes in untested environments: the widely used Finlay-Wilkinson regression (FW), the joint-genomic regression analysis (JGRA) method, and mixed models incorporating an environmental covariates matrix. …”
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Persistent incisional pain at 1 year after craniotomy: a retrospective observational study by Sirima Phoowanakulchai, Mitsuru Ida, Yusuke Naito, Masahiko Kawaguchi

“…Multivariable negative binomial regression analysis was performed to analyze the relationship between the pain NRS score at 1 postoperative year and 12 clinically meaningful covariates. …”
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Oxidative balance score predicts chronic kidney disease risk in overweight adults: a NHANES-based machine learning study by Leying Zhao, Leying Zhao, Cong Zhao, Cong Zhao, Yuchen Fu, Yuchen Fu, Xiaochang Wu, Xiaochang Wu, Xuezhe Wang, Xuezhe Wang, Yaoxian Wang, Yaoxian Wang, Yaoxian Wang, Huijuan Zheng

“…OBS was calculated based on 16 dietary components and 4 lifestyle factors. CKD was defined using KDIGO guidelines. Survey-weighted logistic regression models were used to assess the association between OBS and CKD, with multivariable adjustment. …”
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The association between GERD symptoms severity and psychosocial health in palestine: a cross-sectional study by Qusay Abdoh, Fatima Masoud Al-Amouri, Mohammad Taleb Abed, Mohammed Motasem Jaber, Nour Mahmoud Yassin, Raheeq Mohannad shawahne, Hiba Sadder, Manal Badrasawi

“…Multiple linear regression analysis revealed that sleeping problems are the only predictor of GERD symptoms severity (B = 3.785, 95% confidence interval = 0.712–6.857, p = 0.016).…”
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Are sharia firms able to mitigate the involvement of institutional ownership on earnings management? by Zainal Alim Adiwijaya, Rustam Hanafi

“…Method - The sample uses a purposive sampling method for firms listed on the IDX from 2015 to 2021. This study analyzes 2,238 firm-year observations using multiple linear regression analysis, multigroup regression, and independent t-tests. …”
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A Cohort Study of the Long-Term Influences of SARS-CoV-2 on Kidney Allograft Outcomes in Chinese Recipients: 1-Year Follow-Up Experience by Yisheng Ji, Shuang Fei, Hongsheng Ji, Fan OuYang, Runmin Ding, Li Sun, Hao Chen, Xiaobing Ju, Jun Tao, Zhijian Han, Mulong Du, Zijie Wang, Ruoyun Tan, Min Gu

“…Generalized logistic regression and Cox regression established a model for analyzing COVID-19 risk factors. …”
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Development and Validation of a Neonatal Hypothermia Prediction Model for In-Hospital Transport Using Machine Learning Algorithms: A Single-Center Retrospective Study by Zhang W, Gu X, Gu C, Yao L, Zhang Y, Wang K

“…Ten risk factors were identified through univariate analysis and LASSO regression, including gestational age, weight, and immediate postnatal contact. …”
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