Effect of Preoperative Nutritional Risk Screening on Postoperative Recovery in Patients with Laparoscopic-Assisted Radical Resection for Colorectal Cancer by Xiaolong Wang, Jianlin Wu, Sen Lei, Feng Tian, Ce Cao, Guangfeng Shi

“…Finally, univariate and multivariate logistic regression analyses were used to study risk factors associated with postoperative complications. …”
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Mission en temps de guerre : Alfred Métraux dans le Pilcomayo by Lorena I. Córdoba

“…The peculiar sociopolitical circumstances that encompassed Métraux’s fieldwork are detailed: the logistical problems due to the feeble economic situation of University of Tucumán, the Chaco War between Bolivia and Paraguay (1932-1935), the inescapable relationship with the Anglican settlements of the South American Missionary Society and the tense situation on the national frontier between Argentina and Paraguay. …”
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The Relative Influence of Proximity to Fast Road Infrastructure, Accessibility, and Deprivation on Crime by Margaret O’Mahony

“…To test the hypothesis that the new fast infrastructure was providing quick exits by urban based criminal gangs, Irish crime statistics along with census data were combined in a logistic regression analysis to assess the relative influence of accessibility, deprivation, population, and proximity to fast road infrastructure on the number of burglaries in areas. …”
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The risk factors of dyslipidaemia and obesity incidence: Result from 2019 cohort study of NCDs in Bogor City by Dwi Cantika Aulia, Ekayanti Ikeu, Sudikno Sudikno

“…This study utilized secondary data and using multinomial logistic regression analysis to investigate the influence of gender, education, calorie intake, carbohydrates, and fiber on dyslipidemia and obesity. …”
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Decision Tree Approach for Soil Liquefaction Assessment by Amir H. Gandomi, Mark M. Fridline, David A. Roke

“…The DT results are compared to the logistic regression (LR) model. The results of this study indicate that the DTs not only successfully predict liquefaction but they can also outperform the LR model. …”
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Maternal Satisfaction towards Childhood Immunization Service and Its Associated Factors in Wadla District, North Wollo, Ethiopia, 2019 by Fisha Alebel GebreEyesus, Nega Tezera Assimamaw, Netsanet Tsegaye GebereEgziabher, Bisrat Zeleke Shiferaw

“…Bivariable and multivariable logistic regression analysies were done to identify variables having a significant association with maternal satisfaction. …”
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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study by Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

“…A total of 7 ML algorithms—logistic regression, k-nearest neighbors, support vector machine, decision tree, random forest (RF), extreme gradient boosting, and neural networks—were trained using 10-fold cross-validation. …”
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Serum ALT activity and its isoenzymes as potential biomarkers for diagnosis of Sarcopenia in older adults: a retrospective, cross-sectional study by Jiangping Zeng, Nannan Li, Jiaying Ge, Huihui Ma, Siqi Sun, Yujie Jing, Chunhua Qian, Ran Cui, Shen Qu, Hui Sheng

“…The diagnostic model was developed using binary logistic regression with backward selection, and the diagnostic performance of the model was evaluated by the receiver operator characteristic curve (ROC) curve. …”
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Knowledge, Attitude, and Practice of Pediculus Capitis Prevention and Control and Their Predictors among Schoolchildren in Woreta Town, Northwest Ethiopia, 2018: A School-Based Cro... by Henok Dagne, Awel Aba Biya, Amanuel Tirfie, Walelegn Worku Yallew, Zewudu Andualem, Baye Dagnew

“…Variables with a p value <0.2 during the bivariable binary logistic regression analysis were included in the multivariable binary logistic regression analysis. …”
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Analyzing the serum biochemical factors that influence early neurological deterioration in ischemic Stroke patients and developing a nomogram prediction model by Xiaoni Zhan, Yunyun Xu, Rongrong Ma

“…A nomogram model for END risk prediction was constructed based on the logistic regression analysis results, assigning preliminary scores for each of the 9 predictive factors. …”
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Impact of Sex on Infection Risk in Patients with Systemic Lupus Erythematosus by R. Borrelli, S. Nicola, F. Corradi, I. Badiu, L. Lo Sardo, N. Rashidy, A. Quinternetto, M. Mazzola, F. Meli, E. Saracco, I. Vitali, S. Negrini, L. Brussino

“…Multivariable logistic regression was performed to adjust for potential confounders. …”
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Positive Periodic Solutions of an Epidemic Model with Seasonality by Gui-Quan Sun, Zhenguo Bai, Zi-Ke Zhang, Tao Zhou, Zhen Jin

“…An SEI autonomous model with logistic growth rate and its corresponding nonautonomous model are investigated. …”
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Evaluation of Surface Slope Irregularity in Linear Parabolic Solar Collectors by F. Francini, D. Fontani, P. Sansoni, L. Mercatelli, D. Jafrancesco, E. Sani

“…This technique was principally developed to be applied in cases where it is difficult to use cumbersome instruments and to facilitate logistic management. The instruments to be employed are a digital camera and a grating. …”
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Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…Operated with two hidden layers and the Logistic activation function, the multiclass area under the receiver operating characteristic curve (AUC) reached 98.6%.…”
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The Extended Inverse Weibull Distribution: Properties and Applications by Said Alkarni, Ahmed Z. Afify, I. Elbatal, M. Elgarhy

“…This paper proposes the new three-parameter type I half-logistic inverse Weibull (TIHLIW) distribution which generalizes the inverse Weibull model. …”
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The survival regression model of competing risks for the family of Farlie–Gumbel–Morgenstern distributions by Audronė Jakaitienė, Danas Zuokas

“… In this paper the trivariate survival regression model for FGM family of distributions is const­ructed with marginal left-truncated logistic distributions. Two methods (using survival and hazard functions in the first case, and distributional density and ` `conditional'' survival function in the se­cond case) are used when constructing likelihood function for model parameter estimation. …”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

“…The classification algorithms used were Support Vector Machine (SVM), Bayesian Networks (BN), and Logistic Regression (LR), comparatively. The results indicate that the classification of stress levels of new instances (people) as “high” or “low” can be performed using the LR technique (presenting the highest accuracy, 83.67%). …”
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Periodic Solutions for a Semi-Ratio-Dependent Predator-Prey System with Delays on Time Scales by Xiaoquan Ding, Gaifang Zhao

“…Our results show that for the most monotonic prey growth such as the logistic, the Gilpin, and the Smith growth, and the most celebrated functional responses such as the Holling type, the sigmoidal type, the Ivlev type, the Monod-Haldane type, and the Beddington-DeAngelis type, the system always has at least one periodic solution. …”
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Association between Helicobacter pylori Infection and Diabetes: A Cross-Sectional Study in China by Sailimai Man, Yuan Ma, Cheng Jin, Jun Lv, Mingkun Tong, Bo Wang, Liming Li, Yi Ning

“…H. pylori infection was diagnosed by 13C-urea breath test. Multivariate logistic regression analysis was performed to evaluate the association between H. pylori infection and diabetes. …”
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Relationship between Obesity and Dental Caries in Saudi Male Adolescents by Asim Al-Ansari, Muhammad Nazir

“…Independent samples Student’s t-test, one-way ANOVA test, Pearson’s correlation test, and bivariate and multivariate logistic regression analyses were performed. Results. …”
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