APPLICATION OF COX PROPORTIONAL HAZARD REGRESSION FOR ANALYZING FACTORS INFLUENCING THE RECOVERY RATE OF PULMONARY TUBERCULOSIS PATIENTS by Asrul Irfanullah, Ferina Lestari Damamain, Nur Amaliya Tuanaya

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Analyzing individual factors influence on investment processes in regions by N. S. Kagramanyan, S. V. Lukiantseva

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Beyond the Preston Curve: Analyzing Variations in Life Expectancy Around the World Using Multivariate Regression Circa 2000 and 2015 by Jack Homer

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Regression Analysis for the Factor Affecting on Farm Land/Urban Land Value in Urban Sprawl by Zuhal Karakayacı

“…In this study, the factors affecting on land value in urban sprawl were analysed via regression analysis. …”
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ANALYZING FACTORS OF DIVIDEND POLICY ILLUSTRATED BY COMPANIES OF NASDAQ 100 INDEX by Eugene O. Savchenko, Anna A. Moskaleva

“…From the point of view of getting profits dividend policy is an important factor for investors. It is analyzed regularly, however it is  mainly fragmented and does not show changed taking place. …”
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Analyzing Regional Factors Influencing Passenger, Aircraft Demand, and Freight Demand Using Penalized Geographically Weighted Regression Models by Semra Türkan

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Factors Affecting Home Injuries in Older Adults: An Analysis Using Binary Logistic Regression by Mehdi Abbasian, Homayoun Sadeghi‐bazargani, Hossein Matlabi, Naser Havaei, Mina Hashemiparast, Hamid Allahverdipour

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Factors influencing sialorrhea in orally intubated patients: a lasso and logistic regression analysis by Jinlei Du, Min Wang, Xiaoling Wu, Tianbo Yu, Jiquan Zhang, Jimin Wu

“…Multivariate logistic regression analysis identified the following as independent risk factors for sialorrhea: Body Mass Index (BMI) (OR = 1.365, 95% CI: 1.217–1.531), Smoking (OR = 8.944, 95% CI: 4.272–18.727), Number of Combined Functional Impairment Systems (OR = 2.844, 95% CI: 1.814–4.460), Combined Oral Disease (OR = 2.578, 95% CI: 1.240–5.359), and Neurological Diseases (OR = 4.040, 95% CI: 1.053–15.507). …”
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Analysis of influencing factors and trend prediction based on quantile regression and GM(1, 1) model by Lianhui Li, Adham Manyara, Jie Liu

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Multivariate analysis of factors associated with adverse outcomes in UDT children based on retrograde logistic regression model by Kaveh Fathi Vajargah, Enayatollah Homayi Rad, Amir Pirooz

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A Study of Winning Percentage in the MLB Using Fuzzy Markov Regression by Seung Hoe Choi, Seo-Kyung Ji

“…First, 69 variables for each team are classified into pitching, batting, and fielding using factor analysis, and then the effect of the newly classified variables on the winning percentage is analyzed. …”
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Investigation of asthenopia prevalence and related factors in university students with ordered logistic regression by Halil Sengul

“…Results: Results showed that 75.6% of participants experienced asthenopia; the most common symptom was eyestrain (37.6%). Logistic regression analysis revealed that women were 3.385 times more likely to develop asthenopia than men. …”
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Key Influencing Factors of Urban Flooding in Wuhan Based on Multi-scale Geographically Weighted Regression Model by HUANG Zi-ye, YANG Qing-yuan, WEI Hong-yan

“…Many studies have used the Geographically Weighted Regression (GWR) model to analyze the causes of urban flooding, but its limitation lies in ignoring the scale variations in spatial heterogeneity in various influencing factors. …”
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Investigating factors influencing PM2.5 threshold exceedance in Nigeria using multivariate logistic regression analysis by Tertsea Igbawua, Aondongu Alexander Tyovenda, Terver Sombo, Idugba Mathias Echi, Fanan Ujoh

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Antenatal care visits and associated factors in Senegal: a multilevel poisson regression analysis of the 2023 DHS survey by Habtu Kifle Negash, Habtu Kifle Negash, Ashebir Mamay Gebiru, Ashebir Mamay Gebiru, Mihret Getnet, Mihret Getnet, Mihret Melese, Berihun Agegn Mengistie, Desalegn Anmut Bitew, Tilahun Nega Godana, Yosef Belay Bizuneh, Amare Belete Getahun, Amare Belete Getahun, Mikias Mered Tilahun, Nebebe Demis Baykemagn, Worku Chekol Tassew

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Analysis of Factors Influencing Repurchase Decision of Flight Tickets of Garuda Indonesia Airlines Using Binary Logistic Regression by Rizki Agung Ramadani, Tiyanda Hanti Arum Kusuma, Rinta Agustiani Dwiputri, Jerry Heikal

“… The aviation industry in Indonesia is one of the sectors that has experienced rapid growth along with the increasing mobility of society and the need for air transportation. This study aims to analyze the factors that influence the decision to repurchase airline tickets at Garuda Indonesia Airlines using the Binary Logistic Regression method. …”
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Risk factors associated with the failure of day surgery for total knee arthroplasty a multivariate logistic regression analysis by Pan Luo, Jiabin Feng, Yankun Li, Yingli Zou, Xuepeng Zhu, Li Sun, Bo Li

“…Multivariate logistic regression analysis revealed that disease duration (P = 0.017), knee flexion range of motion (P < 0.001), glomerular filtration rate (P = 0.010), and surgery time (P = 0.020) were independent risk factors. …”
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SPATIAL MODELING OF MATERNAL HEALTH: GEOGRAPHICALLY WEIGHTED POISSON REGRESSION ON MATERNAL MORTALITY FACTORS by Alfa Yuliana, Achmad Fauzan

“…In support of efforts to reduce maternal mortality rates, this study investigates the contributing factors to this phenomenon across various districts in West Java Province. …”
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The Agricultural Factors Influencing the Economic Development of Kazakhstan by A. K. Jussibaliyeva, A. B. Soltanbayeva, S. S. Tleuberdiyeva

“…When constructing the regression, four factors were used, namely investments in agriculture, productivity, livestock of cattle and poultry, and gross output of agricultural services, in addition, the interest rate and the unemployment rate were also taken into account. …”
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Related Risk Factors That Predict Moderate to Severe Asthma Attack in Children: Analysis Based on Logistic Regression and Decision Tree by Li Q, Fan Y, Luo R, Hu J, Wang L, Ai T

“…Multivariate logistic regression and decision tree both had a good predictive effect for analyzing the risk factors of moderate to severe asthma attack in children.Keywords: moderate to severe attack, childhood asthma, logistic regression, decision tree, risk factors…”
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