Epidemiologic Study of Enterobius vermicularis Infection among Schoolchildren in the Republic of Marshall Islands by Chia-Kwung Fan, Pasaikou Sonko, Yueh-Lun Lee, Ai-Wen Yin, Ting-Wu Chuang, Ramson Kios, Ying-Ting Wang, Chia-Mei Chou, Shao-Lun Hsu, Mai-Szu Wu, Jia-Wei Lin, Chia-Ying Tu

“…For each child, demographic and risk factor data were collected by a structured questionnaire and statistically analyzed. The overall prevalence of pinworm infection was 12.14% (42/346). …”
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Multiplicative models for survival percentiles: estimating percentile ratios and multiplicative interaction in the metric of time by Andrea Bellavia, Matteo Bottai, Nicola Orsini

“…On the other hand, the percentile ratio has never been fully described, neither statistical methods have been presented for its models-based estimation. …”
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Flexible Parsimonious Mixture of Skew Factor Analysis‎ ‎Based‎ ‎on‎ ‎Normal‎ ‎Mean--Variance Birnbaum-Saunders by Farzane Hashemi, Jalal Askari, Saeed Darijani

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Expression of serum miR-503 level in patients with diabetic kidney disease and its prognostic correlation by Qin Yang, Shi Xu-hui, Bao Xu-bo

“…Univariate analysis was performed for examining the influencing factors of poor prognosis while multivariate Logistic regression for analyzing the risk factors for poor prognosis. …”
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Development of a prognostic nomogram and risk stratification system for elderly patients with esophageal squamous cell carcinoma undergoing definitive radiotherapy: a multicenter r... by Yuanji Xu, Chuyan Lin, Chun Han, Xin Wang, Yidian Zhao, Qingsong Pang, Xinchen Sun, Gaofeng Li, Kaixian Zhang, Ling Li, Xueying Qiao, Yu Lin, Zefen Xiao, Junqiang Chen

“…Multivariate analysis confirmed these as independent factors for OS. …”
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Pulse pressure after thrombectomy predicts functional outcomes and mortality in acute ischemic stroke with large artery occlusion by Shandong Jiang, Zhongju Tan, Jianru Li, Peizheng Guo, Yuan Yuan, Jun Yu, Liang Xu, Xu Li, Xianyi Chen, Bing Fang, Lingling Yu, Jing Xu, Cong Qian, Chaohui Jing, Yunmei Yang

“…We utilized multivariate logistic regression to identify predictors of poor prognosis and mortality after EVT. …”
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VECTOR AUTOREGRESSIVE WITH OUTLIER DETECTION ON RAINFALL AND WIND SPEED DATA by Lisa Lestari, Evy Sulistianingsih, Hendra Perdana

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Pharmacists’ knowledge, attitudes, and practices toward preventing congenital disabilities: a cross sectional study in Saudi Arabia by Fahad S. Alshehri, Nasser M. Alorfi, Ahmed M. Ashour, Ammar Abdulrahman Jairoun, Saad M. Wali, Mohammed M. Aldurdunji, Shaker T. Alsharif, Reem Hasaballah Alhasani, Nasser M. Aldekhail, Abdullah S. Alshehri, Alqassem Y. Hakami

“…A standardized and validated questionnaire comprising 30 items divided across knowledge, attitude, and practice domains was used to assess pharmacists’ perspectives. The data were analyzed using descriptive statistics and multivariate linear regression to identify the key demographic factors associated with knowledge, attitudes, and practice scores. …”
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A mixed-methods study on negative psychological states of infertile women undergoing assisted reproductive treatment by Jia-Yu Hu, Yi-Dan Wu, Zhen Xiao, Meng-Ting Yu, Yue-Feng Liu, Yu-Ting Peng, Xiao-Hua Fu, Yu Zhang

“…The results of quantitative and qualitative study were comprehensively analyzed and classified. The results of the quantitative survey suggested a high prevalence of anxiety (24.3%), depression (10.8%) and stress (8.7%). …”
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Spatial Distribution of Cadmium in Avocado-Cultivated Soils of Peru: Influence of Parent Material, Exchangeable Cations, and Trace Elements by Richard Solórzano, Rigel Llerena, Sharon Mejía, Juancarlos Cruz, Kenyi Quispe

“…For data analysis, we applied (1) univariate statistics (skewness, kurtosis); (2) multivariate methods such as Spearman correlations and principal component analysis (PCA); (3) spatial modeling using the Geodetector tool; and (4) non-parametric testing (Kruskal–Wallis test with Dunn’s post hoc test). …”
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Association between alpha-1-acid glycoprotein and frailty in US females aged 20–49 years: analysis of NHANES data (2015–2023) by Yaru Liu, Yunxun Chen, Lijuan Zhou, Yantao Yin, Yuqiong Cao, Guang Li, Tian Xu, Xianxiu Wen

“…Subgroup and interaction analyses demonstrated that none of the examined variables showed a statistically significant interaction with the association between AGP and frailty. …”
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The application of an escape room teaching method on the training for ICU new nurses: a quasi-experimental study by Qiulan Hu, Yangjuan Bai, Yuanxiang Mo, Rui Ma, Lan Ding, Ming Zhou, Yimei Zhang, Fang Ma

“…Finally, the data were analyzed with SPSS v.26. Descriptive statistics, the paired samples test, the Wilcoxon signed-rank test, multivariate regression, and Pearson correlation were utilized for analysis. …”
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Analysis of high-fidelity simulation effects and their connection with educational practices in early nursing education by Agata Wojcieszek, Anna Kurowska, Aldona Wróbel, Iwona Bodys-Cupak, Alicja Kamińska, Anna Majda

“…The study used Spearman’s correlation coefficient, Kruskal-Wallis test, Dunn’s post-hoc analysis and multivariate linear regression. A significance level of p < 0.05 was adopted. …”
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Comparison of surgical efficacy between direct anterior approach and posterolateral approach in the treatment of sarcopenia with femoral neck fractures by Zhaoyang Yin, Qin Hu, Bin Zhang, Jin Yi, Hailong Zhang, Jian Yin

“…Methods This study retrospectively analyzed the clinical data of patients with FNF who underwent total hip arthroplasty (THA) using either DAA or PLA from December 2019 to December 2022. …”
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Early statin use might reduce the hemorrhagic transformation among acute ischemic stroke patients with recanalization therapy: a retrospective cohort study by Boyan Pan, Jiaying Lan, Xiaojun Li, Haoxuan Chen, Luankun Weng, Haoyou Xu, Yuanqi Zhao, Min Zhao

“…In-hospital mortality was also lower in the 24 h-statins group, although not statistically significant (4.9% vs. 10.8%, p = 0.076). …”
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Association of triglyceride-glucose related indices with colorectal cancer risk among the US population: a cross-sectional study by Sen Niu, Chenshan Jiang, Xiaofei Miao, Ye Zhang, Zengyao Li, Tong Wang

“…After adjusting for key confounding covariates, the TyG index was not significantly associated with CRC risk (OR = 1.32, 95% CI: 0.90–1.95, P = 0.1553), whereas significant positive associations remained for TyG-BMI, TyG-WC, and TyG-WtHR when analyzed as continuous variables. When categorized into quartiles, individuals in the highest quartile exhibited elevated CRC prevalence compared to the reference group (TyG: OR = 1.88, 95% CI: 0.86–4.12, P = 0.1632; TyG-BMI: OR = 2.80, 95% CI: 1.29–6.05, P = 0.0155; TyG-WC: OR = 2.71, 95% CI: 1.06–6.92, P = 0.0154; TyG-WtHR: OR = 3.62, 95% CI: 1.22–10.75, P = 0.0046), with statistically significant associations persisting for TyG-BMI, TyG-WC, and TyG-WtHR (all P < 0.05). …”
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Prognostic value of peripheral blood neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in patients with gastric cancer by ZHANG Le, LI Wei, HUANG Zeping, WANG Wenjie, CHEN Xiao

“…Both univariate and multivariate Cox analyses indicated that high NLR and high PLR were risk factors affecting OS and PFS in gastric cancer patients (P ＜0.05). …”
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Genetic Links Between Common Lung Diseases and Lung Cancer Progression: Bioinformatics and Machine Learning Insights by Md Ali Hossain, Tania Akter Asa, Md. Zulfiker Mahmud, AKM Azad, Mohammad Zahidur Rahman, Mohammad Ali Moni, Ahmed Moustafa

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Electrocardiographic findings for predicting the left anterior descending artery chronic total occlusion in patients with inferior ST-segment elevation myocardial infarction by Xiaobin Zheng, Zhaofu Zhang, Bingqi Yao, Haiyan Wu

“…Although there was a trend toward higher previous cerebral infarction and lower diabetes prevalence in the Normal LAD group, neither was statistically significant (P = 0.070 and P = 0.088). …”
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Analysis of Related Risk Factors and Prognostic Factors of Gastric Cancer with Bone Metastasis: A SEER-Based Study by Chen Xiaobin, Xu Zhaojun, Liu Tao, Dai Tianzeng, Huang Xuemei, Zheng Fan, Huang Chunyin, Huang Jianqiang, Lin Chen

“…The difference between the two groups was statistically significant (χ2=1076.866, P<0.001). Multivariate logistic regression analysis showed that race (P=0.007, OR=1.296), grade (P<0.001, OR=0.575), marital status (P<0.001, OR=0.040), tumor size (P=0.006, OR=0.752), TNM stage (P<0.001), T stage (P=0.023, OR=0.882), and M stage (P<0.001, OR=44.958) are independent risk factors for gastric cancer bone metastasis. …”
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