Efficacy of Age-Adjusted Dyspnea, Eosinopenia, Consolidation, Acidemia and Atrial Fibrillation Score in Predicting Long-Term Survival in COPD-Related Persistent Hypercapnic Respira... by Maşide Ari, Emrah Ari

“…The A-DECAF scores were calculated and analyzed using Kaplan–Meier and ROC analyses. Survival assessment was conducted with Kaplan–Meier analysis, while univariate and multivariate Cox regression analyses were performed to identify the prognostic factors. …”
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A capsule network-based public health prediction system for chronic diseases: clinical and community implications by Haiyan Xie

“…The established chronic disease prediction method was used to diagnose these types of public health chronic diseases. The key influencing factors obtained by the prediction method were compared with the regression analysis results. …”
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Low expression of TOX predicts poor prognosis of patients with breast cancer in the real world: A retrospective study by Chunlei Tan, Danping Wu, Xiaotian Yang, Shiyuan Zhang, Shuqiang Liu, Boqian Yu, Xiao Yu, Yuting Xiu, Yuanxi Huang

“…Patients with high expression of TOX had a longer survival than those with low expression of TOX (DFS: 71.70 vs. 64.05 months, χ2 = 11.6300, P = 0.00065; OS: 81.03 vs. 73.72 months, χ2 = 11.4200, P = 0.00073). Based on Cox regression analyses, multivariate analysis indicated that TOX was the potential prognostic factor for both DFS (HR: 0.412, 95 % CI: 0.248–0.684, P = 0.001) and OS (HR: 0.395, 95 % CI: 0.237–0.660, P < 0.0001). …”
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Real-World Effectiveness of Nirmatrelvir/Ritonavir in Hospitalized Older Adults with Severe Omicron COVID-19: A Retrospective Cohort Study from China by Chen Y, Liu L, Liu Y, Huang F, Guo L, Wan W, Jiang H

“…Kaplan-Meier survival curves assessed 28-day survival, and Cox regression models identified factors influencing survival.Results: Among the 127 severe cases, the death group had significantly higher rates of stroke history, renal impairment, endotracheal intubation, renal replacement therapy (RRT), bacterial infection, but significantly lower rates of NMV/RTV use and anticoagulation (p&lt; 0.05). …”
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Green investment and firm value: Does corporate governance matter? by Estu Widarwati, Nabila Nur Rohmah, E Wityasminingsih, Nunik Nurmalasari, Devy Widya Apriandi, Mutqi Sopiawadi

“…The sample is 34 companies receiving PROPER awards listed on the IDX for the 2017-2021 period from the primary material, consumer non-cyclical, and consumer cyclical sectors. The data were analyzed using panel data regression, T-test, and moderate regression analysis tests. …”
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Environmental taxation impact on the development of Ukrainian mining industry by Yaryna Samusevych, Maryna Horodetska

“…As a result of the conducted research by the methods of regression analysis, the impact of resource taxation on certain indicators of the mining activity in Ukraine was established. …”
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Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

“…Models based on logistic regression analysis with penalty terms on the objective function were used, and their predictive performances were compared using multiple evaluation metrics, including the area under the receiver operating characteristic curve. …”
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The Influence of Principal's Role and Organizational Commitment on Teachers’ Work Motivation in Public Elementary Schools by Suwarsi Suwarsi, Soedjono Soedjono, Aryo Andri Nugroho

“…The primary data source comprised teacher responses to validated Likert-scale questionnaires measuring three variables: the principal’s role, organizational commitment, and teacher work motivation. Data analysis, conducted using SPSS 26, included Pearson product-moment correlation to assess the strength of bivariate relationships, simple linear regression to evaluate the individual influence of each independent variable, and multiple linear regression to examine their combined effect. …”
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Driver genes as predictive indicators of brain metastasis in patients with advanced NSCLC: EGFR, ALK, and RET gene mutations by Huijuan Wang, Ziqi Wang, Guowei Zhang, Mina Zhang, Xiaojuan Zhang, Haixia Li, Xuanxuan Zheng, Zhiyong Ma

“…Logistic multivariate regression analysis revealed that positive EGFR mutation (P = .012), positive ALK gene fusion (P = .015), positive RET gene fusion (P = .003), pathological type (P = .009), lymph node N2‐3 metastasis (P < .001), and a younger age (P < .001) were independent risk factors for brain metastasis. …”
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Key predictors of student proficiency in quantum computing by Shabnam Sodagari

“…Using Exploratory Factor Analysis (EFA) (n = 63), we identified three latent constructs. …”
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Association Between Physical Activity Dose and Mental Health Among Stroke Survivors by Ajith Kumar Vemuri, Seyyed Sina Hejazian, Alireza Vafaei Sadr, Aishwarya Chandrasekaran, Sasan Bahrami, Shouhao Zhou, Jonathan Hakun, Christopher Sciamanna, Vida Abedi, Ramin Zand

“…The impact of duration, frequency, and intensity was analyzed using nonlinear regression, adjusting for potential confounders. …”
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The Effect of Lifestyle on Free Study among Citizens of Ahvaz by abdolreza navah, abdollah fazeli, mohammadsadegh rajaei, fatemeh moghtadaei

“…The method of this research is survey and data were collected questionnaire. Data were analyzed by SPSS software. For test of hypothesies regression and Pearson correlation is applied. …”
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Prediction of Basketball Shooting Ability on the Basis of Anthropometric Characteristics, Wrist Range of Motion, and Strength of Upper Extremity in Elite Female Basketball Players by Nahid Adibpour, Leila Ghazaleh, Farzaneh Hatami

“…The research data was statistically analyzed using linear regression analysis. Results: Results showed that only forearm length variable is significantly effective on free throw shot. …”
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Study on Joint Damage of Double Prefabricated Fragments Penetrating Finite Thickness Concrete by Zhenning Wang, Junhui Yang, Jianping Yin, Xudong Li, Rui Shi, Jianya Yi

“…It is found that the joint damage of the front pit area is the largest when the fragment is in different planes, and the PLS regression coefficient is −0.44. The hypothesis that joint damage is easy to occur in the area of the intersection line on the back of the target is analyzed and verified.…”
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Emotion regulation and perceptions of academic stress as key predictors of academic motivation in second language learning. by Haiying Liang, Xu Mao

“…Data were collected using validated emotion regulation, perceptions of academic stress, and academic motivation questionnaires and analyzed using Pearson correlation and multiple regression methods. …”
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Identification of mitophagy-related genes impacting patient survival in glioma by Qiang Zhao, Guangxin Li

“…The risk score was found to be an independent prognostic factor for glioma in both univariate and multivariate Cox regression analyses. …”
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Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches by Chenyuan Deng, Yu Jiang, Yuechun Lin, Hengrui Liang, Wei Wang, Ying Huang, Jianxing He

“…The mixed effects of multiple EDCs on PRISm were assessed using three mixture analysis models: weighted quantile sum (WQS) regression, quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR). …”
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Empirical Study of Social Media Marketing's Impact on Brand Image and Loyalty in Retail, Muscat by Mohd Irfan Rais

“…The data is analyzed using the SPSS tool through statistical approaches such as ANOVA, Correlation, and Regression. …”
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Differentiation of AFP-negative hepatocellular carcinoma from other intrahepatic malignant lesions by a noninvasive predictive model based on Sonazoid contrast-enhanced ultrasound by Qian Zhang, Zhilong Liu, Ruining Wang, Lele Song, Wenwen Fan, Ping Liang, Liping Liu

“…ObjectivesThis study aimed to develop and validate a non-invasive predictive model, which was a reliable nomogram to accurately differentiate AFPN-HCC from other intrahepatic malignant lesions.MethodsThis study enrolled 165 patients with malignant focal liver lesions, including AFPN-HCC (n=85) and other intrahepatic malignant lesions (n=80). Data were analyzed to screen for risk factors phase by using LASSO regression as well as univariate and multivariate logistic regression analysis. …”
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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

“…Univariate and multivariate logistic regression analysis were performed to identify the CFs that were independently associated with pCR. …”
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