يعرض 1 - 12 نتائج من 12 نتيجة بحث عن '(( binary data risk estimation algorithm ) OR ( binary data access maximization algorithm ))*', وقت الاستعلام: 0.53s تنقيح النتائج
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    Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data حسب Fei Xue (24567)

    منشور في 2021
    "…In theory, we establish Fisher consistency and provide the risk bound for the proposed estimator under regularity conditions. …"
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    DataSheet1_A statistical boosting framework for polygenic risk scores based on large-scale genotype data.pdf حسب Hannah Klinkhammer (14367624)

    منشور في 2023
    "…We develop an adapted component-wise L<sub>2</sub>-boosting algorithm to fit genotype data from large cohort studies to continuous outcomes using linear base-learners for the genetic variants. …"
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    Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models حسب Xuan Bi (3096897)

    منشور في 2022
    "…By analyzing the PPCOS data, we successfully uncover the hidden influence of risk factors on live birth, which confirm clinical experience. …"
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    Adaptation of a Canadian culpability scoring tool to Alberta police traffic collision report data حسب Tona M. Pitt (6588689)

    منشور في 2019
    "…Interrater agreement was estimated using kappa (k) and reported with 95% confidence intervals (CIs). …"
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    Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods حسب Jiacong Du (12035845)

    منشور في 2022
    "…Simulations demonstrate that the “stacked” approaches are more computationally efficient and have better estimation and selection properties. We apply these methods to data from the University of Michigan ALS Patients Biorepository aiming to identify the association between environmental pollutants and ALS risk. …"
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    GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios حسب Yang Lan (20927512)

    منشور في 2025
    "…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …"