Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…The ridge regression technique (L2-regularization) is applied to prevent overfitting during the validation stage of the linear regression model. The model performance evaluation is based on confusion matrices and ROC graphs. …”
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Pharmacodynamic Modeling of Warfarin Dosing Algorithm for Cardiovascular Patients in Indonesia: A Tailored Method to Anticoagulation Therapy by Putriana NA, Latarissa IR, Rusdiana T, Rostinawati T, Akbar MR

“…However, gender (p = 0.89) had no effect, while age (p = 0.01), BMI (p = 0.01), and genotype (p = 0.01) significantly influenced warfarin dose determination.Conclusion: In conclusion, the combined contribution of age (8.76%), BMI (7.95%), and CYP4F2 genotype (8.29%) to warfarin dose adjustment was 25%. The linear regression model for predicting warfarin dose was determined to be y = 12.736– 0.16*age + 0.55*BMI + 3.55*genotype, where 1 = CC, 2 = CT, and 3 = TT.Keywords: warfarin dosing, cardiovascular disease, CYP4F2 genotype, anticoagulation therapy, genetic polymorphism…”
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Psychosocial working conditions and violence prevention climate in German emergency departments – a cross-sectional study by Sonja Reißmann, Mannat Guliani, Tanja Wirth, David A. Groneberg, Volker Harth, Stefanie Mache

“…Kruskal-Wallis tests were performed for group comparisons, followed by a hierarchical multiple linear regression model and moderation analyses. Results Statistically significant differences between the groups were found for eight out of 13 variables. …”
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Hypothyroidism is Not Associated with Keratoconus Disease: Analysis of 626 Subjects by Zsuzsa Flaskó, Elena Zemova, Timo Eppig, László Módis, Achim Langenbucher, Stefan Wagenpfeil, Berthold Seitz, Nóra Szentmáry

“…A multiple logistic linear regression model was constructed to determine the effects of age (covariate), gender, and hypothyroidism (effect sizes) on “TKC-positive” disease. …”
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Comparison of 1D and 3D volume measurement techniques in NF2-associated vestibular schwannoma monitoring by Isabel Gugel, Nuran Aboutaha, Bianca Pfluegler, Ulrike Ernemann, Martin Ulrich Schuhmann, Marcos Tatagiba, Florian Grimm

“…The Hannover and Koos classification was used to depict the size ratio in each MRI and tumor. A linear regression model was performed to compare 1D/classification systems to SVA, and the percentage deviation change of MLD3 and OA to SVA was established using a one-way multivariate variance analysis. 2586 SVA and 10344 linear measurements were performed in a cohort of 149 NF2 patients and 292 associated VS. …”
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Prevalence of depression, anxiety, and stress among students enrolled at King Khalid University: a cross-sectional study by Abdulaziz M. Al-Garni, Ayed A. Shati, Nora A. Almonawar, Ghadi M. Alamri, Lujain A. Alasmre, Thamraa N. Saad, Faisal M. Alshehri, Esraa Abdellatif Hammouda, Ramy Mohammed Ghazy

“…A multivariate linear regression model was used to examine the relationships between the independent variables (age, gender, academic year, and study field) and the dependent variables (depression, anxiety, and stress). …”
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 Increasing the resolution of malaria early warning systems for use by local health actors by Michelle V. Evans, Felana A. Ihantamalala, Mauricianot Randriamihaja, Vincent Herbreteau, Christophe Révillion, Thibault Catry, Eric Delaitre, Matthew H. Bonds, Benjamin Roche, Ezra Mitsinjoniala, Fiainamirindra A. Ralaivavikoa, Bénédicte Razafinjato, Oméga Raobela, Andres Garchitorena

“…A spatio-temporal hierarchical generalized linear regression model was trained on monthly malaria case data from 195 communities from 2017 to 2020 and evaluated via cross-validation. …”
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Farm factors associated with increased free fatty acids in bulk tank milk by Hannah M. Woodhouse, Stephen J. LeBlanc, Trevor J. DeVries, Karen J. Hand, David F. Kelton

“…In the final multivariable linear regression model, milking frequency ≥3×/d (times per day) compared with <3×/d was associated with a greater FFA concentration in AMS (β = 0.27, 95% CI: 0.12, 0.41) and tiestall milking systems (β = 1.17, 95% CI: 0.76–1.59). …”
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Long-term changes in the thermodynamic structure of the lowermost stratosphere inferred from reanalysis data by F. Weyland, P. Hoor, D. Kunkel, T. Birner, T. Birner, F. Plöger, F. Plöger, K. Turhal, K. Turhal

“…The trend analysis is performed with a dynamic linear regression model (DLM), capable of modeling non-linear trends. …”
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Relationship between dietary intake and growth and development in Chinese pupils by Wen Fang, Ye Fu, Qin Li, Menghan Cheng, Miao Zhang, Yu Lu

“…The multivariate generalized linear regression models adjusted for covariates were used to investigate the association between dietary intake and growth and development of pupils.ResultsThe generalized linear regression model showed that standing long jump of all pupils (β = −6.735, 95% CI: −12.064, −1.406) and body fat rate (β = −2.650, 95% CI: −4.794, −0.507), fat weight (β = −1.283, 95% CI: −2.286, −0.280) and chest circumference (β = −1.456, 95% CI: −2.789, −0.123) of boys were negatively correlated with dietary diversity score. …”
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Testicular biometrics of Murrah buffaloes in different age groups by Erly L. Carrascal-Triana, Jorge Mejía Lúquez, Divier Agudelo Gómez, Edison Julián Ramírez Toro

“…Descriptive statistics were performed for each variable; for the SC and TV, a linear regression model as a function of age and weight was analyzed, and simple Pearson correlations were performed. …”
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Short-term association between ambient air pollution and childhood non-allergic rhinitis: A time-series study at a National Children's Regional Medical Center, in Hefei, China, fro... by Wei Cui, Hongxia Gao, Liran Zhu, Yuanyuan Xu, Haipeng Liu

“…A quasi-Poisson generalized linear regression model combined with a distributed lag nonlinear model was applied to evaluate the association between air pollution and outpatient visits for childhood NAR. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…Again, this research used a strong methodology by incorporating Machine learning (ML) algorithms, such as: Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Machine (SVM), and Linear Regression Model (LRM), were applied to forecast and confirm the quality of the water. …”
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Modeling regional aboveground carbon stock dynamics affected by land use and land cover changes by A.D. Malik, M.C.W. Arief, S. Withaningsih, P. Parikesit

“…Vegetation biomass was assessed using an allometric equation, and aboveground carbon stock data were extrapolated to the landscape scale using a linear regression model of measured carbon stocks and the Normalized Difference Vegetation Index derived from recent satellite imagery.FINDINGS: Vegetated areas were predominant in 2009 and 2021. …”
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Impaired creatinine-based estimated glomerular filtration rate in Thai individuals switching to dolutegravir: illustrating the role of cystatin C testing to aid clinical decision m... by Carlo Sacdalan, Curtis Austin, Aswathy Varma, Suteeraporn Pinyakorn, Eugène Kroon, Donn J. Colby, Phillip Chan, Orlanda Goh, Krittaporn Pornpaisakul, Jintana Intasan, Tassanee Luekasemsuk, Merlin L. Robb, Nitiya Chomchey, Nittaya Phanuphak, Jintanat Ananworanich, Sandhya Vasan, Denise Hsu, the SEARCH 010/RV254 study group

“…Random-effect linear regression model was used to assess changes in eGFRcre over 96 weeks from starting ART, and from switching to DTG. …”
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Factors associated with early childhood development: results from the Brazilian National Survey on Child Nutrition (ENANI-2019) by Gilberto Kac, Nadya Helena Alves-Santos, Dayana Rodrigues Farias, Nathalia Cristina Freitas-Costa, Raquel Scincaglia, Paula Normando, Inês Rugani, Elisa Maria de Aquino Lacerda, Sandra Crispim, Alexandra Valeria Maria Brentani, Claudia Regina Lindgren Alves

“…DQ predictors were defined considering distal and proximal levels/variables using a multiple linear regression model and a hierarchical approach.Results The DQ mean was significantly lower among children aged 36–59 months (0.91 (0.88 to 0.93)), boys (1.03 (1.01 to 1.06)) and those from the North region (0.98 (0.93 to 1.04)) compared with children aged 1–35 months (1.18 (1.15 to 1.22)), girls (1.11 (1.08 to 1.13)) and from the Southeast region (1.11 (1.07 to 1.16)). …”
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The association of visceral and subcutaneous fat areas with phenotypic age in non-elderly adults, mediated by HOMA-IR and HDL-C by Yuanhong Liu, Min Xu, Liqing Wang, Linyun Meng, Mengran Li, Shumin Mu

“…Phenotypic Age Acceleration (PhenoAgeAccel) is defined as the residual from a linear regression model predicting PhenoAge on the basis of chronological age. …”
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Kidney failure-related excess mortality during the first three years of the COVID-19 pandemic in the United States: a nation-wide, population-based analysis by Zhenhu Chen, Pingping Jia, Di Xie, Jingyu Xie, Juan Liu, Wangnan Cao, Lefei Han, Jinjun Ran, Shengzhi Sun, Shi Zhao, Yang Ge, Leonardo Martinez, Xin Chen, Peihua Cao

“…Methods We aim to estimate time-varying excess kidney failure-related mortality, which is defined as the difference between observed mortality and expected mortality predicted by a Poisson log-linear regression model, in the United States (March 2020—March 2023). …”
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Effects of Physical Activity Level, Strength, Balance, and Body Composition on Perceived Health in Healthy Adults by José Manuel Delfa-de-la-Morena, Pedro Pinheiro Paes, Frederico Camarotti Júnior, Débora Priscila Lima de Oliveira, Rubem Cordeiro Feitosa, Byanka Santos Cavalcante de Oliveira, Juan-José Mijarra-Murillo, Aranzazu Martínez Moya, Miriam García-González, Francisco De Asís-Fernández

“…Perceived health was calculated using the SF36 questionnaire, which detects health states, both positive and negative. A linear regression model was generated between each domain of SF36 with SOT_CES, BFP, PAL, and S_Index. …”
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Comparing the emotional impact of the UK COVID-19 lockdown in very preterm and full-term born children: a longitudinal study by Zeyuan Sun, Zeyuan Sun, Laila Hadaya, Laila Hadaya, Marguerite Leoni, Marguerite Leoni, Paola Dazzan, Emily Simonoff, Serena J. Counsell, A. David Edwards, Chiara Nosarti, Chiara Nosarti, Lucy Vanes

“…The emotional impact of the COVID-19 lockdown on the child and the parent, measured by the CRISIS, was studied in relation to pre-existing mental health, assessed with the parent-rated Strengths and Difficulties Questionnaire (SDQ), evaluated before the CRISIS completion (mean time gap 15 months). Linear regression model comparisons were conducted to study the effects of COVID-19-related stressors on children's and parents' behavior, relationships and mental health.ResultsThere were no significant group differences in pre-existing SDQ internalizing/externalizing symptoms, child's emotions or parent's emotions during the COVID-19 lockdown. …”
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