Prevalence of and factors associated with symptoms consistent with a diagnosis of irritable bowel syndrome among resident physicians in standardised training in China: a cross-sect... by Xin Wang, Ning Li, Xia Li, Zhigang Li, Jun Zhao, Xuefei Wang, Xin Hao, Jiayi Yang, Junjian Tian

“…Univariate and multivariate logistic regression models were constructed to assess the associations of age, sex, body mass index, stress, depression, anxiety, sleep quality and IBS.Results Of the included resident doctors, 77.2% were female, 20.4% were obese or underweight and 8.6% had symptoms consistent with a diagnosis of IBS. …”
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Predicting High-Grade Acute Urinary Toxicity and Lower Gastrointestinal Toxicity After Postoperative Volumetric Modulated Arc Therapy for Cervical and Endometrial Cancer Using a No... by Tianyu Yang, Zhe Ji, Runhong Lei, Ang Qu, Weijuan Jiang, Xiuwen Deng, Ping Jiang

“…The normal tissue complication probability (NTCP) model was established using the logistic regression model. Restricted cubic spline (RCS) curves were used to explore the association between dosimetric parameters and toxicities. …”
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Catheter‐Related Bloodstream Infections Among Hemodialysis Patients in Northern Tanzania: Insights From a Single‐Centre Retrospective Study by Andrea R. Costantine, Sarah J. Urasa, Abid M. Sadiq, Elichilia R. Shao, Furaha S. Lyamuya, Elieishiupendo M. Niccodem, Eugénie M. Kamabu, Venance P. Maro, Elifuraha W. Mkwizu, Nyasatu G. Chamba, Francis F. Furia, Tumaini E. Mirai, Eliada B. Nziku, Doreen T. Eliah, Ibrahim Ali Ibrahim Muhina, Faryal M. Raza, Modesta P. Mitao, Kajiru G. Kilonzo

“…Statistical analysis was performed using SPSS version 27. Multivariate logistic regression was used to determine the factors associated with CRBSI. …”
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The effect of immunosuppression on outcomes in elderly patients with community-acquired pneumonia by Lixue Huang, Bingxuan Weng, Yuanqi Wang, Mengyuan Wang, Yin Mei, Wei Chen, Meng Ma, Jingnan Li, Jianzhen Weng, Yang Ju, Xuefeng Zhong, Xunliang Tong, Yanming Li

“…Clinical manifestations, severity, and outcomes were compared. The logistic regression model was used to determine the association between immunosuppression and outcomes. …”
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Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India by Trinh Quoc Ngo, Nguyen Duc Dam, Nadhir Al-Ansari, Mahdis Amiri, Tran Van Phong, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham

“…In the present study, we have used three single ML models, namely, linear discriminant analysis (LDA), logistic regression (LR), and radial basis function network (RBFN), for landslide susceptibility mapping at Pithoragarh district, as these models are easy to apply and so far they have not been used for landslide study in this area. …”
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Effects of Immune System-Related Medications on COVID-19 Outcome in a Cohort of Iranian Patients: Preliminary Report of a Data Mining Study by Ehsan Bitaraf, Seyyed Amir Yasin Ahmadi, Alireza Gandomi-Mohammadabadi, Zahra Noorani Mejareh, Bahare Abdollahi, Javad Balasi, Farzan Moodi, Nima Hemmati, Ali Kabir

“…Association of a researcher-designed drug list with death and LOS was studied. For death outcome, logistic regression was used reporting odds ratio (OR) with 95% confidence interval (CI). …”
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Adult HIV/AIDS patients are more likely to experience anxiety symptoms by Zakir Abdu, Wondwossen Belayneh, Aman Dule, Solomon Seyife Alemu, Lema Fikadu Wedajo, Mohammedamin Hajure, Gebremeskel Mulatu Tesfaye, Yadeta Alemayehu Workneh, Wubishet Gezimu, Mustefa Adem Hussen, Bilisumamulifna Tefera, Sadik Habib

“…Bivariate and multivariable logistic regressions were employed to identify independently associated variables, and statistical significance was determined at a p-value <0.05.ResultsOut of a total of 323 samples, 320 respondents completed all items, resulting in a response rate of 99.07%. …”
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Prospective study of factors associated with asthma attack recurrence (ATTACK) in children from three Ecuadorian cities during COVID-19: a study protocol by Cristina Ardura-Garcia, Max Bachmann, Alejandro Rodriguez, Philip Cooper, Michael Richard Perkin, Irina Chis Ster, Natalia Cristina Romero, Martha E Chico, Alvaro Cruz, Diana Morillo, Santiago Mena-Bucheli, Angélica Ochoa, Claudia Rodas, Augusto Maldonado, Karen Arteaga, Jessica Alchundia, Karla Solorzano, Camila Figueiredo

“…Data will be analysed using logistic regression and survival analyses.Ethics and dissemination Ethical approval was obtained from the Hospital General Docente de Calderon (CEISH-HGDC 2019-001) and Ecuadorian Ministry of Public Health (MSP-CGDES-2021-0041-O N° 096-2021). …”
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Association between prenatal exposure to phthalate esters and blood pressure in children aged 3–7 years: A prospective cohort study by Zihao Wang, Yu Zhang, Wenwen Yang, Mengfei Xu, Beini Li, Ping Wu, Zhongqiang Cao, Wei Wu

“…Mixed-effects linear regression models were used to estimate the correlations between individual mPAEs and the SBP and DBP z-scores of preschoolers. Binary logistic regression models were used to examine the correlation between individual mPAEs and hypertension risk. …”
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Left ventricular output indices and sacubitril/valsartan titration: role of stroke volume index by Paolo Tolomeo, Ottavio Zucchetti, Emanuele D'Aniello, Noemi Punzo, Federico Marchini, Luca Di Ienno, Elisabetta Tonet, Rita Pavasini, Claudio Rapezzi, Gianluca Campo, Matteo Serenelli

“…Univariate and multivariate logistic regression were used to identify variables associated with the primary and secondary endpoints. …”
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Association between mixed exposure of non-persistent pesticides and liver fibrosis in the general US population: NHANES 2013–2016 by Shuge Shu, Yuan Li, Xiangyu Yu, Xinting Chen, Ummara Abdullah, Yongquan Yu

“…Survey-weighted linear/logistic regression and Bayesian kernel machine regression (BKMR) were used to detected the independent and combined associations between non-persistent pesticides and liver fibrosis, respectively. …”
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How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not by Mohammad Farris Iman Leong Bin Abdullah, Hatta Sidi, Arun Ravindran, Paula Junggar Gosse, Emily Samantha Kaunismaa, Roslyn Laurie Mainland, Norlaila Mustafa, Nurul Hazwani Hatta, Puteri Arnawati, Amelia Yasmin Zulkifli, Luke Sy-Cherng Woon

“…Multivariate binary logistic regression was performed to determine the predictors of poor glycaemic control. …”
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Determinants of Diabetic Nephropathy among Diabetic Patients in General Public Hospitals of Tigray, Ethiopia, 2018/19 by Teklewoini Mariye Zemicheal, Degena Bahrey Tadesse, Hagos Tasew Atalay, Girmay Teklay Weldesamuel, Gebrewahd Bezabh Gebremichael, Haben Nuguse Tesfay, Teklehaimanot Gereziher Haile

“…Data were entered into Epi data and exported to SPSS for data clarification and analysis. Binary logistic regression analysis was carried out to check the level of association between diabetic nephropathy and the independent variables. …”
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Epicardial Fat Tissue: A Potential Marker for Coronary Microvascular Dysfunction by Waiel Abusnina, Ilan Merdler, Matteo Cellamare, Kalyan R. Chitturi, Abhishek Chaturvedi, Irwin M. Feuerstein, Cheng Zhang, Sevket Tolga Ozturk, Teshome Deksissa, Vaishnavi Sawant, Kassandra Lopez, Lior Lupu, Dan Haberman, Itsik Ben‐Dor, Lowell F. Satler, Ron Waksman, Hayder D. Hashim, Brian C. Case

“…We measured epicardial fat volume (EFV) and calculated the EFV index. Logistic regression analysis was used to investigate the association between EFV and EFV index to CMD. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…For developing a predictive model for HF risk in AMI patients, the least absolute shrinkage and selection operator (LASSO) Regression was used to feature selection, and four ML algorithms including Random Forest (RF), Extreme Gradient Boost (XGBoost), Support Vector Machine (SVM), and Logistic Regression (LR) were employed to develop the model on the training set. …”
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Development and external validation of a dynamic nomogram for predicting the risk of functional outcome after 90 days in patients with acute intracerebral hemorrhage by Shaojie Li, Hongjian Li, Jiani Chen, Baofang Wu, Jiayin Wang, Chaocan Hong, Changhu Yan, Weizhi Qiu, Yasong Li, Hongzhi Gao

“…Later, least absolute shrinkage and selection operator (LASSO) regression and multifactorial logistic regression were used to screen the variables and construct a nomogram. …”
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Predictive factors of thrombosis during autologous stem cell transplantation in multiple myeloma: Experience from EHU Oran (Algeria) by Mohammed Amine BEKADJA, Brahim BENZINEB, Mansour BELKACEM, Hafida OUDJERIOUAT, Badra ENTASOLTAN, Soufi OSMANI, Kamila AMANI, Samira BOUCHAMA, Leila CHAREF, Mohamed BRAHIMI, Abdessamad ARABI, Rachir Amar BOUHASS, Nabil YAFOUR

“…Thepredictive factors studied are: age, co-morbidities, use of IMiDs, use of Granocyte colony stimualing factor in mobilization, the central venous catheter insertion site, cytapheresis count, CD34+ perfused, and finally deep venous thrombosis prophylaxis by a low molecular weight heparin .The statistical analysis focused on a univariate study, followed by a multivariate analysis using binary logistic regression. Results-Among 411 patients with MM underwent autologous transplantation of which 249 were male with a sex ratio of 1,53. …”
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Trends in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> Urinary Tract Infections and Antibiotic Resistance over a 5-Year Period in Southeastern Gabon by Yann Mouanga-Ndzime, Cyrille Bisseye, Neil-Michel Longo-Pendy, Michelle Bignoumba, Anicet-Clotaire Dikoumba, Richard Onanga

“…Univariate and multivariate logistic regression analyses were performed to measure the impact of sociodemographic, clinical and climatic parameters on the occurrence of UTIs. …”
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The Role of Inflammatory Parameters and Antibody Seroconversion on COVID-19 Outcomes in Patients with Central Obesity by Syahidatul Wafa, Dicky Levenus Tahapary, Evy Yunihastuti, Heri Wibowo, Cleopas Martin Rumende, Kuntjoro Harimurti, Ketut Suastika, Farid Kurniawan, Rona Kartika, Tika Pradnjaparamita, Dante Saksono Harbuwono

“…The adjusted-relative risk of negative seroconversion antibody for poor outcomes was analysed using logistic regression. Results: 23 of 178 (12.9%) subjects developed poor clinical outcomes during hospitalization. …”
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Radiomics for Predicting the Development of Brain Edema from Normal-Appearing Early Brain-CT After Cardiac Arrest and Return of Spontaneous Circulation by Michael Scheschenja, Eva-Marie Müller-Stüler, Simon Viniol, Joel Wessendorf, Moritz B. Bastian, Jarmila Jedelská, Alexander M. König, Andreas H. Mahnken

“…Feature selection involved reproducibility analysis via ICC and LASSO regression, retaining five features per segmentation method. A logistic regression model for each segmentation method underwent 5-fold cross-validation. …”
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