Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression by Zhenhao Quan, Lin Lin, Renwei Huang, Kaiyu Sun, Feipeng Xu

“…The data of each group were collected, and the influencing factors of AL in patients postoperative with rectal cancer in the training set were analyzed by Lasso-Logistic regression model. …”
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Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression by Wenfeng Feng, Runlong Lin, Wenzhe Zhao, Haifeng Cai, Jingwu Li, Yongliang Liu, Lixiu Cao, Lixiu Cao

“…Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) were used to compare the performance of the model and individual risk factors in the internal testing set. …”
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Rainfall and temperature trends in northeastern states of India: Implications for agricultural productivity by JYOTSNALI CHETIA, MONISHA CHETIA

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MATHEMATICAL MODELING IN THE CONTENT OF STUDENTS-ECOLOGISTS’ TRAINING OF MATHEMATICS by S. I. Toropova

“…Mathematical modeling of the links between the health indicators of the population of the Kirov region and habitat factors was carried out using multiple correlation-regression analysis. …”
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Association analysis of the triglyceride-glucose index with carotid atherosclerotic plaques by Shuping CHEN, Weiting TANG, Tian LAN, Jinlong LI, Qi XU, Lingqiao QIN, Qiuan ZHONG

“…The correlation between the TyG index and the occurrence of CAP in the population with varying characteristics was analyzed using LASSO regression, multifactorial logistic regression, and linear trend tests. …”
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Analysis of related factors influencing prognosis of patients with peritoneal dialysis-associated peritonitis by ZHANG Ming-zhu, LIU Ya, JIN Bin-bin, DAI Chun

“…According to the prognosis of PDAP patients, they were divided into three groups: cure group, withdrawal(extubation, death) group, and relapse(repeat, recurrence or reappearance of peritonitis after treatment) group. Multiple logistic regression analysis was used to analyze the independent risk factors affecting prognosis.Results A total of 133 peritonitis cases in 78 selected peritoneal dialysis patients included 81 cases in the cured group, 26 cases in the withdrawal group, and 26 cases in the relapse group. …”
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Related Factor Analysis and Nursing Strategies of Diarrhea in Critically Ill Patients with Enteral Nutrition by Donglian Liu, Qinghong Liu, Xiansong Wen

“…By collecting clinical data, univariate and multivariate logistic regression analysis was used to screen the risk factors for diarrhea. …”
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Psychological Network Analysis for Risk and Protective Factors of Problematic Social Media Use by Suzan M. Doornwaard, Vladimir Hazeleger, Ina M. Koning, Albert Ali Salah, Sven Vos, Regina J. J. M. van den Eijnden

“…To address these gaps, this study combines logistic regression and psychological network analysis to examine which personal, parent, and peer factors are most relevant in identifying at-risk/problematic social media use among adolescents. …”
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Analysis of Risk Factors Affecting Skin Mastocytosis in Children: Cross-Sectional Study by Elena I. Kasikhina, Larisa S. Kruglova, Mariya O. Vashchenko, Roman Y. Mayorov

“…The aim of the study was to analyze risk factors associated with clinical manifestations and regression time of skin mastocytosis in children.Methods. …”
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Analysis of influencing factors of increased intracranial pressure in patients with cerebral venous thrombosis by DING Hong-yan, XIE Ya-nan, DONG Qiang

“…The clinical data of the patients were analyzed, and univariate and multivariate stepwise Logistic regression analyses were used to screen the influencing factors for increased ICP. …”
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Comparing importance-performance analysis and three-factor theory in assessing rider satisfaction with transit by Jason Cao, Xiaoshu Cao

“…For the three-factor theory, the importance grid yields more plausible results than regression with dummy variables. …”
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Risk factor analysis of chronic kidney diseases using based on case control study by CHEN Zhi-hong, LU Chun-jian, YUAN Chang-jian, CAI Yu-chun, YI Wu-yong

“…Through the retrospective analysis of the clinical data and the questionnaire(the main content is the life state of the last year), the relevant risk factors that affect onset of CKD were analyzed, such as basic conditions, infection in the last year, hyperlipidemia, hypertension, diabetes, hyperuricemia,hyperuricemia, cardiovascular diseases. eating habits, sports habits,etc. …”
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Geospatial Analysis of COVID-19 Death Rate and Influencing Factors in the MENA Region by MUSTAFA SHEBANI ABOALYEM, Mohd Tahir Ismail

“…The study uses GIS-based analysis and geostatistical models to analyze the COVID-19 death rate in MENA countries. …”
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Spatial and multilevel analysis of determinant factors for safely managed sanitation services in Ethiopia by Belay Desye, Abebe Kassa Geto, Chala Daba, Anmut Endalkachew Bezie, Semere Reda, Tadesse Sisay, Melaku Getachew, Leykun Berhanu

“…SaTScan version 10.2.5 software was used for detecting and analyzing clusters. To identify determinant factors of unimproved sanitation services, a multilevel logistic regression model was employed. …”
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Analysis of the incidence of post-cholecystectomy diarrhea and its influencing factors in Hainan Province by Fengjiao Mao, Daya Zhang, Xianfeng Huang, Da Li, Wenrui Chen, Fan Zeng, Chen Chen, Shimei Huang, Yanting Lv, Yuliang Huang, Runyu Chen, Ying Mo, Qiuli Nie, Shuo Zhou, Xiaodong Zhang, Qicen Yao, Yiping Du, Bo Ran, Yan Tan, Na Liu, Yunqian Xie, Feihu Bai

“…Binary logistic regression analysis showed that age (OR = 0.532, P = 0.010), BMI (OR = 40.615, P < 0.001), dietary patterns (OR = 0.635, P = 0.013), and history of diabetes (OR = 0.263, P < 0.001) were independent risk factors. …”
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Analysis of prognosis and influencing factors of sepsis patients receiving blood component transfusion by ZHAO Bingjie, CAO Bowei, ZHU Yuanpei, ZHANG Ningjie

“…The [M(P25, P75)] for C-reactive protein (mg/L), hemoglobin (g/L), and platelet count (×109/L) in the transfusion vs non-transfusion groups were 178.0(156.1-178) vs 102.7(74.0-119.6), 88.5(72.3-113.0) vs 110.5(101-121.8), and 63.0(26.5-156.5) vs 202.5(108.3-286.8), respectively (all P<0.05). Logistic regression analysis revealed that hemoglobin level, platelet count, lactate concentration, and the storage duration of transfused red blood cells were independent risk factors affecting the survival outcomes of sepsis patients receiving transfusions (P<0.05). …”
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Variable Cluster Analysis of Employment in the Cities of the Russian Federation by I. A. Zalmanov

“…The purpose of the study is to analyze the socio-economic factors of employment in the urban districts of the Russian Federation. …”
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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

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Analysis of outcomes and risk factors in peritoneal dialysis patients in a single center by YUAN Ming, QIAO Yu-feng, YAN Yan, LI Xiao-xia, XUE Fu-ping, LIU Hong-yan, WANG Li-hua

“…Objective To analyze the clinical data of peritoneal dialysis(PD)patients in the Second Hospital of Shanxi Medical University,and to explore the outcomes of patients with PD and the risk factors.Methods The clinical data of patients with maintenance peritoneal dialysis from January 2009 to June 2019 in the Second Hospital of Shanxi Medical University were collected by retrospective study.The chi-square test and log rank test were used for single factor analysis.Multivariate analysis was performed using a multivariate stepwise COX regression model to discuss the adverse outcomes and risk factors of peritoneal dialysis patients.Results Among 258 patients with maintenance peritoneal dialysis,the ones with chronic glomerulonephritis accounted for 42.2%,the ones with diabetic nephropathy 32.9%;97 ones withdrew from peritoneal dialysis with a withdrawal rate of 37.60%.Among the patients with withdrawal from peritoneal dialysis,49 ones changed from peritoneal dialysis to hemodialysis,accounting for 19.0%;39 ones died,accounting for 15.1%;4 ones underwent renal transplantation,accounting for 1.6%;5 patients lost their follow-up visit.Through single factor and multi factor analysis,the complication of cardiovascular and cerebrovascular diseases(HR=2.599,95%CI:1.340～5.043,P=0.005),24-hour urine volume less than 400 mL(HR=0.207,95%CI:0.085～0.501,P<0.001),creatinine less than 707 μmol/L(HR=3.259,95%CI:1.682～6.316,P<0.001)were the independent risk factors for death in patients with peritoneal dialysis.The incidence of peritonitis(HR=3.548,95%CI:1.882～6.691,P=0.000),neutrophil percentage greater than 70%(HR=0.543,95%CI:0.302～0.977,P=0.042),uric acid greater than 360 μmol/L(HR=0.352,95%CI:0.168～0.735,P=0.005),total cholesterol greater than 5.7 mmol/L(HR=0.368,95%CI:0.160～0.931,P=0.034)were the independent risk factors for change to hemodialysis.Conclusions The outcomes of patients who withdraw from peritoneal dialysis in our center are mainly death and change to hemodialysis.The complication of cardiovascular and cerebrovascular diseases,24-hour urine volume less than 400 mL,and creatinine less than 707 μmol/L are independent risk factors for death in patients with peritoneal dialysis.Peritonitis,neutrophil percentage greater than 70%,uric acid greater than 360 μmol/L,total cholesterol greater than 5.7 mmol/L are independent risk factors for change to hemodialysis.…”
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Analysis of sleep quality and influencing factors in migraine patients with patent foramen ovale by Hu Yijun, Zhang Diwen, Wang Libo, Liu Bo, Ye Hongmei, Zhao Xiongfei

“…PFO patients was diagnosed through c-TCD combined with c-TTE. Binary logistic regression analysis was employed to examine the influencing factors of sleep quality in PFO-positive migraine patients.ResultsA total of 673 （100.00%） migraine patients were enrolled， including 223 PFO-positive cases （33.14%） and 450 PFO-negative cases（66.86%）. …”
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