The correlation of HLA-A in Thai EGFR-mutated advanced non-small cell lung cancer, outcome, and tumor microenvironment by Nicha Zungsontiporn, Korakot Srianuwattipong, Sakun Santisukwongchote, Piyada Sitthideatphaiboon, Poonchavist Chantranuwat, Chatchawit Aporntewan, Chanida Vinayanuwattikun

“…The interested HLA-A subtypes of exon 21 L858R were HLA-A*30:01 (28.5%), *33:03 (57.1%), and *34:01 (14.4%). Multivariate Cox-regression analysis revealed that the interested HLA-A subtypes were not an independent factor of progression-free or overall survival. …”
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Systemic immune-inflammatory biomarkers assist in differentiating clinical features of different etiologies of acute kidney injury: results from eICU Collaborative Research Databas... by Qiqiang Liang, Sumian Zhang, Xuebin Wang

“…The study included all patients diagnosed with AKI while excluding those with unclear AKI etiology or chronic kidney disease. Analyzed variables encompassed demographic characteristics, admission/discharge data, laboratory parameters, severity scores, and comorbidities. …”
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Multimodal MRI radiomics based on habitat subregions of the tumor microenvironment for predicting risk stratification in glioblastoma. by Han Wang

“…The C-index of the multiregional radiomics model was the highest. Univariable Cox regression analysis revealed that the risk score, age, and extent of gross total resection (GTR) were significant prognostic factors for OS in GBM patients. …”
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Relationship between stress hyperglycemia ratio and the incidence of atrial fibrillation in patients after coronary artery bypass grafting: a retrospective study based on the MIMIC... by Runjia Liu, Jiatong Li, Jing Zeng, Yuxuan Tao, Dong Chen, Haixia Li

“…We employed logistic regression models, restricted cubic splines (RCS), threshold effect analysis, ubgroup analysis, Boruta algorithm, lasso algorithm, and receiver operating characteristics (ROC) to analyze the relationship between SHR and POAF incidence comprehensively. …”
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Relationship Between Blurred Boundary and Neurological Deficits in Extension-Type Pediatric Supracondylar Humeral Fractures by Takuji Yamamoto, MD, Yoshifumi Ueshin, MD, Hikaru Ogawa, MD, Yasuharu Nakashima, MD, PhD

“…Univariate and multivariate logistic regression analyses were performed to identify risk factors. …”
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Histoculture drug response assay predicts chemotherapy efficacy and improves survival in gastrointestinal cancers by Shuang Wang, Na Fan, Han Li, Yang Li, Ping Hu, Dongliang Chen, Xiaohong Jiang, Lei Gao, Chenggang Yang, Dawei Yang

“…Cox regression analysis indicated that HDRA-guided treatment serves as a protective factor for DFS (hazard ratio, HR<1).ConclusionIn summary, the HDRA assay represents a reliable assay for accurately evaluating chemotherapy regimens, thereby furnishing guidance for individualized treatment in gastrointestinal cancer patients.…”
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Serum LEAP2 Levels Across the Spectrum of Metabolic Dysfunction-Associated Fatty Liver Disease: A Potential Noninvasive Biomarker for Severity Stratification by Huang X, Deng Z, Li X, Yan S, Zhong K, Yuan F, Liu L, Deng C, Liu T, Zhao R, Buhe A, Li T, Zhao H

“…Multivariate logistic regression identified serum LEAP2 as an independent factor associated with MAFLD presence (OR=1.14, 95% CI 1.03– 1.26; P=0.014), alongside BMI and ALT, while HDL was protective. …”
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Tumor-infiltrating CD4+ CD25+ FOXP3+ Treg is associated with plasma EBV DNA and disease progression in nasopharyngeal carcinoma by Enzi Feng, Yaoyu Yang, Jie Yang, Rongyi Hu, Ling Tian, Xinyu Yang, Meng Yang, Qianqian Qu, Yanxin Ren, Xiaojiang Li

“…HALO software was used to analyze whole-slide images. The correlation between two factors was assessed using Spearman analysis. …”
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The Effect of Accessibility and Retail Service Quality on Repeat Purchase in the Traditional Store of the Consumer by Thitikarn Sirican, Chutima Wangbenmad

“…The sample consisted of 400 consumers who had made repeat purchases from traditional retail stores in the Su-ngai Kolok District, Narathiwat Province. Data were analyzed using descriptive statistics (percentage, mean, and standard deviation) and inferential statistics, specifically stepwise multiple regression analysis. …”
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Inflammatory and nutritional markers predict response and prognosis of patients with locally advanced gastric cancer receiving neoadjuvant immunochemotherapy by Yiwen Sun, Mengjie Liang, Xingzhou Wang, Wenting Dong, ZhenShui Wu, Feng Sun, Xiaofeng Lu, Feng Wang, Song Liu, Meng Wang, Shichao Ai, Xiaofei Shen, Wenxian Guan

“…Conclusions CONUT score and NRS2002 score are independent factors of pathological tumor regression response in LAGC patients after neoadjuvant immunochemotherapy. …”
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Modern defining characteristics of innovative development of the ukrainian economy: theoretical and practical aspects by Олена Ястремська, Людмила Малярець, Олеся Ястремська, Ігор Бараннік

“…The following results have been obtained: the definition of the concept of "innovative development" has been improved; the concepts of innovative development have been analyzed; the main factors influencing the course of innovative development in Ukraine have been identified; multivariate regression models have been built according to the influential factors of innovative development and the most important of them have been substantiated; the current defining features of innovative development of the Ukrainian economy have been identified by significant factors and their specification has been carried out in accordance with the measures to ensure it in the conditions of military operations. …”
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Modern defining characteristics of innovative development of the ukrainian economy: theoretical and practical aspects by Olena Iastremska, Lyudmyla Malyarets, Olesia Iastremska, Igor Barannik

“…The following results have been obtained: the definition of the concept of "innovative development" has been improved; the concepts of innovative development have been analyzed; the main factors influencing the course of innovative development in Ukraine have been identified; multivariate regression models have been built according to the influential factors of innovative development and the most important of them have been substantiated; the current defining features of innovative development of the Ukrainian economy have been identified by significant factors and their specification has been carried out in accordance with the measures to ensure it in the conditions of military operations. …”
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Comparison of survival rate and duration of maxillary and mandibular lingual bonded retainers – a retrospective cohort study by Rizwan Khalil, Asma Muhammad Yousuf, Zahra Masood, Rashna Hoshang Sukhia, Mubassar Fida

“…Abstract Background This study aimed to evaluate the survival rates of maxillary and mandibular lingual bonded retainers fabricated from coaxial wire. It also analyzed the impact of operator experience, as well as patients’ inherent and treatment-related factors, including age, sex, malocclusion, and the number of teeth bonded, on their survival rates. …”
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Altered co-expression patterns of synovial fluid proteins related to the immune system and extracellular matrix organization in late stage OA, compared to non-OA controls by Jenny Lönsjö, Martin Rydén, Aleksandra Turkiewicz, Velocity Hughes, Jon Tjörnstand, Patrik Önnerfjord, Martin Englund, Neserin Ali

“…The differential expression of proteins between the groups was analyzed using a linear mixed effects model. The linear associations between pairs of protein expressions were estimated with a linear regression model.ResultsWe found that almost half of the detected proteins were differentially expressed between the OA and non-OA controls. …”
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Statistical assessment of the impact of climate change on social and demographic processes (on the example of the Yaroslavl region) by V. V. Zholudeva

“…In order to identify factors causing climate change, a correlation and regression analysis was performed. …”
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Lighting the path to growth: Exploring the impact of energy efficiency on firm productivity in Nigeria by Joshua Adeyemi Afolabi, Oluwatosin Ademola Adeniyi, Samuel Orekoya

“…This study contributes to the literature by examining the relationship between energy efficiency and firm-level total factor productivity (TFP) using a two-stage approach: estimating energy efficiency scores using the Stochastic Frontier Analysis (SFA) framework, and analyzing their impact on productivity using the Instrumental Variables Generalized Method of Moments (IV-GMM) regression. …”
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EFFECT OF PONZI SCHEMES ON FINANCIAL LOSSES IN NIGERIA: LESSONS FROM THE PAST AND RECENT SCAMS by Abass Adekunle ADEWALE

“…Using descriptive statistics, Pearson correlation, and multiple regression analysis, the study found that schemes offering the highest promised returns such as CBEX and Crowd1 produced the greatest financial losses. …”
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The Impact Of Audit Fee, Auditor Switching, Workload And Auditor Specialization On Audit Quality by Putri averina, Theresia Dwi Hastuti

“…The purposive sampling method was used to select a sample of companies to be analyzed, with a total sample of 145 companies. In data analysis, this study applies a quantitative approach using logistic regression to test the validity of the regression, model fit, coefficient of determination, and research hypotheses. …”
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Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcinoma by Jia-Wei Feng, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang

“…Clinical features were selected through logistic regression after collinearity analysis. A total of 874 ultrasound radiomics features and 1433 CT radiomics features were extracted and selected using LASSO regression. …”
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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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