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3. Analysis of human exposure to landslides with a GIS multiscale approachSirio Modugno, Sarah C. M. Johnson, Pasquale Borrelli, Edris Alam, Nejc Bezak, Heiko Balzter, 2022, original scientific article Keywords: disaster risk reduction, landslide probability, logistic regression, landslide trigger factors, GIS model, global map
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4. Bias-reduced estimators of conditional odds ratios in matched case-control studies with unmatched confoundingRok Blagus, 2023, original scientific article Keywords: statistics, linear models, bias, bias correction, Cox proportional hazards model, data augmentation, logistic regression model, relative risk estimation
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5. Bring more data!—a good advice?Hana Šinkovec, Angelika Geroldinger, Georg Heinze, 2019, original scientific article Keywords: maximum likelihood estimation, logistic regression, Firth’s correction, separation, penalized likelihood, bias
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6. To tune or not to tune, a case study of ridge logistic regression in small or sparse datasetsHana Šinkovec, Georg Heinze, Rok Blagus, Angelika Geroldinger, 2021, original scientific article Keywords: logistic regression, Firth's correction, statistics
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7. The diagnostic value of qPCR quantification of Paenibacillus larvae in hive debris and adult bees for predicting the onset of American foulbroodBojan Papić, Lucija Žvokelj, Metka Pislak, Barbara Hočevar, Monika Kozar, Rene Rus, Urška Zajc, Darja Kušar, 2024, original scientific article Keywords: Paenibacillus larvae, American foulbrood, quantitative PCR, logistic regression
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8. Machine learning driven bioequivalence risk assessment at an early stage of generic drug developmentDejan Krajcar, Dejan Velušček, Iztok Grabnar, 2024, original scientific article Keywords: risk prediction, bioequivalence, random forest, XGBoost, logistic regression
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9. Factors influencing private forest owners decision-making rationalities to implement salvage logging after large-scale natural disturbances in SloveniaDarja Stare, Špela Ščap, Špela Pezdevšek Malovrh, 2025, original scientific article Keywords: forestry, environmental disturbances, private forest owners, decision making process, post-damage management, logistic regression analysis
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