Fire Regime in a Peatland Restoration Area: Lesson from Central Kalimantan by Bekti Larasati, Mamoru Kanzaki, Ris Hadi Purwanto, Ronggo Sadono

“…Land cover change was mapped using Landsat imagery from2014, 2015 and 2016. Logistic regression analysis was conducted to identify significant factors that increase fire risk. …”
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Prevalence and associated factors of anxiety and depression among patients with hypothyroidism in Southern Iran by Tania Dehesh, Mohammad Amin Mosleh-Shirazi, Paria Dehesh

“…The prevalence of depression and anxiety was estimated using the Beck Depression Inventory and the Hamilton Anxiety questionnaires, respectively. First, univariate logistic regression was performed. Factors whose P-values were smaller than 0.2 in univariate logistic regression were included in multiple logistic regression for confounder adjustments. …”
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Analysis of Clinically Symptomatic Patients to Differentiate Inflammatory Breast Cancer from Mastitis in Asian Women by Han Song Mun, Ha Yeun Oh

“…Patients with suspicious findings had US-guided biopsies, and pathology reports were reviewed for tumor histology and immunohistochemical markers. Logistic regression was used to determine odds ratios. …”
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Association between Ambient Illumination and Cognitive Impairment: A Population-Based Study of Older by Tieyi Shi, Baozhong Chen

“…The correlation between AI and cognitive impairment was analyzed using multivariate logistic regression models. Nonlinear correlations were explored using curve fitting. …”
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Study on predictive models for COVID-19 in Cuba by Juan Felipe Medina Mendieta, Manuel Eduardo Cortés Cortés, Manuel Cortés Iglesias, Annia del Carmen Pérez Fernández, Marianelis Manzano Cabrera

“…<br /><strong>Methods:</strong> the least squares method was used to obtain the parameters using linear (MCL) and nonlinear (MCNL) models. Logistic and exponential models, such as the logistic growth curve, used to model population growth (Gompertz growth models), were applied to the growth prediction of infected cases and / or deaths, respectively.…”
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The Investigation of Sex Differences in the Effect of Body Mass Index by Xiang Xiao, Weihua Wang, Rina Sa, Lin Qiu, Feng Liu

“…The result of multivariable logistic regression showed that obese and overweight males had higher risk of getting hypertension than their female counterparts. …”
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Preoperative neck ultrasound combined with pathological data can significantly impact the outcome of medullary thyroid carcinoma by Maurilio Deandrea, Tommaso Piticchio, Alberto Mormile, Francesca Retta, Giovanni Canale, Alessandra Caracciolo, Lorenzo Daniele, Pierpaolo Trimboli

“…Kaplan-Meier curves and Cox and logistic regression analyses were performed, and the hazard ratio (HR) was calculated. …”
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Development and validation of a nomogram for predicting early neurological deterioration in patients with moderate traumatic brain injury: a retrospective analysis by Shen Wang, Shen Wang, Ruhai Wang, Chao Han, Haicheng Hu, Hongtao Sun, Hongtao Sun

“…Univariate and multivariate logistic regression analyses were used to identify the significant factors for END, which were used to develop a nomogram. …”
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The predictive value of the serum creatinine-to-albumin ratio (sCAR) and lactate dehydrogenase-to-albumin ratio (LAR) in sepsis-related persistent severe acute kidney injury by Xiaoxiao Luo, Dongyang Liu, Cuicui Li, Jia Liao, Wuyang Lv, Yuchen Wang, Ruxue Diao, Yingyu Jin

“…Possible confounding factors were screened out by univariate logistic regression, and multivariable logistic regression was applied to evaluate the association of Log (sCAR) _Log (LAR) score with persistent severe sepsis and other secondary clinical outcomes. …”
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Seismic Vulnerability Assessment of Site-Vicinity Infrastructure for Supporting the Accident Management of a Nuclear Power Plant by T. J. Katona, A. Vilimi

“…The results of the study can be used for the planning of logistical support of the plant accident management staff. …”
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Machine learning approach to student performance prediction of online learning. by Jing Wang, Yun Yu

“…Finally, using the eigenvalue indicators to train the proposed logistic regress model with Taylor expansion. Experimental results show that the proposed logistic regress model defeats against the comparative models in prediction ability. …”
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Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

“…<b>Results</b>: The study achieved high accuracy across models using logistic regression (84.84%) and deep learning (84.83%). …”
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Clinical learning environment: Improving cultural competence in nursing students by Kuswantoro Rusca Putra, Alfrina Hany, Ratih Arum Vatmasari, Ike Nesdia Rahmawati, Ridhoyanti Hidayah, Kaista Bunga Disy Agse, Moch Denny Rosyid, Soniya Nailun Najah Zuhri

“…The statistical analysis used is the multiple logistic regression backward method. Results: The results of the multiple logistic regression backward method obtained the best model, namely pedagogic and nursing care in ward (P value <0.05). …”
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Analyzing Student Academic Achievement Using Machine Learning Techniques at Senior High School Darunnajah Jakarta by Supriadi Panggabean, Wahyu Joko Saputro

“…Various classification methods, including logistic regression, KNN, and SVM, were employed in this study. …”
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Advanced Computing Approach for Modeling and Prediction COVID-19 Pandemic by Sami A. Morsi, Mohammad Eid Alzahrani

“…In this paper, a statistical logistic growth model was employed to predict the spread of COVID-19 in Australia and Brazil. …”
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Risk factors for fluorouracil-induced cardiotoxicity in patients with gastrointestinal tumor by Yuting Wu, Chen Lv, Jindong Li, Ying Ma, Xiaoli Zhu

“…The risk factors associated with the cardiotoxicity of fluorouracil were explored using multivariable logistic regression.ResultsA total of 300 patients were finally included and divided into the cardiotoxicity (n = 81) and non-cardiotoxicity groups (n = 219). …”
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Exploring digital solutions for sustainable production: academic insights and practical applications by Angélica Pigola, Priscila Rezende da Costa, Gustavo Hermínio Salati Marcondes de Moraes, Fernando de Souza Meirelles, Rosley Anholon

“…Utilising multilevel ordinal logistic regression (M-OLR), the research identifies six critical digital technologies that significantly enhance sustainable production outcomes. …”
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Role of Body Mass Index, Waist-to-Height and Waist-to-Hip Ratio in Prediction of Nonalcoholic Fatty Liver Disease by Rui-Dan Zheng, Zhuo-Ran Chen, Jian-Neng Chen, Yan-Hui Lu, Jie Chen

“…M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors. …”
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RETRACTED ARTICLE: Combined treatment of glibenclamide and CoCl2 decreases MMP9 expression and inhibits growth in highly metastatic breast cancer by Zhe Rong, Li Li, Fei Fei, Lailong Luo, Yang Qu

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Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 by Hana Lijaemiro, Semarya Berhe Lemlem, Jembere Tesfaye Deressa

“…Presence and degree of association between outcome and independent variables were computed through bivariate logistic regression analysis and factors that had p<0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. …”
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