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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, izvirni znanstveni članek Ključne besede: disaster risk reduction, landslide probability, logistic regression, landslide trigger factors, GIS model, global map Celotno besedilo (datoteka, 2,19 MB) Gradivo ima več datotek! Več... |
4. Bias-reduced estimators of conditional odds ratios in matched case-control studies with unmatched confoundingRok Blagus, 2023, izvirni znanstveni članek Ključne besede: statistics, linear models, bias, bias correction, Cox proportional hazards model, data augmentation, logistic regression model, relative risk estimation Celotno besedilo (datoteka, 570,98 KB) Gradivo ima več datotek! Več... |
5. Bring more data!—a good advice?Hana Šinkovec, Angelika Geroldinger, Georg Heinze, 2019, izvirni znanstveni članek Ključne besede: maximum likelihood estimation, logistic regression, Firth’s correction, separation, penalized likelihood, bias Celotno besedilo (datoteka, 1,95 MB) Gradivo ima več datotek! Več... |
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, izvirni znanstveni članek Ključne besede: logistic regression, Firth's correction, statistics Celotno besedilo (datoteka, 2,66 MB) |
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, izvirni znanstveni članek Ključne besede: Paenibacillus larvae, American foulbrood, quantitative PCR, logistic regression Celotno besedilo (datoteka, 999,34 KB) Gradivo ima več datotek! Več... |
8. Machine learning driven bioequivalence risk assessment at an early stage of generic drug developmentDejan Krajcar, Dejan Velušček, Iztok Grabnar, 2024, izvirni znanstveni članek Ključne besede: risk prediction, bioequivalence, random forest, XGBoost, logistic regression Celotno besedilo (datoteka, 1,61 MB) Gradivo ima več datotek! Več... |
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, izvirni znanstveni članek Ključne besede: forestry, environmental disturbances, private forest owners, decision making process, post-damage management, logistic regression analysis Celotno besedilo (datoteka, 424,47 KB) Gradivo ima več datotek! Več... |