يعرض 1 - 12 نتائج من 12 نتيجة بحث عن '(( binary based case estimation algorithm ) OR ( binary data processing optimisation algorithm ))*', وقت الاستعلام: 1.17s تنقيح النتائج
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    Bayesian variable selection in distributed lag models: a focus on binary quantile and count data regressions حسب Daniel Dempsey (11805621)

    منشور في 2025
    "…Extra parameters introduced through the DLM framework may require calibration for the MCMC algorithm, but this will not be the case in DLM-based analyses often seen in pollution exposure literature. …"
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    Scheduling method for pairing night-shift and morning-shift duties on metro lines with complex structure حسب Zixuan Zhu (4224532)

    منشور في 2022
    "…To improve the rest time of crews, this paper proposes a binary programming model to optimise the NMDPP. Moreover, a hybrid algorithm combining General Variable Neighbourhood Search (GVNS) with an Assignment Algorithm is designed to find high-quality solutions for this problem. …"
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    Comparison of penalized logistic regression models for rare event case حسب Hülya Olmuş (7494017)

    منشور في 2022
    "…<p>The occurrence rate of the event of interest might be quite small (rare) in some cases, although sample size is large enough for Binary Logistic Regression (LR) model. …"
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    Table 1_Provider fidelity in tuberculosis screening practices among adolescents and adults living with HIV in public health facilities in Tanzania: a cross-sectional evaluation.doc... حسب Lucas L. Shilugu (22644302)

    منشور في 2025
    "…Modified Poisson regression with robust variance was used to estimate prevalence ratios (PRs) to determine factors associated with two binary outcomes: (1) consistent TB screening over 12-month period, and (2) correct utilization of the screening tool. …"
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    Table 2_Provider fidelity in tuberculosis screening practices among adolescents and adults living with HIV in public health facilities in Tanzania: a cross-sectional evaluation.doc... حسب Lucas L. Shilugu (22644302)

    منشور في 2025
    "…Modified Poisson regression with robust variance was used to estimate prevalence ratios (PRs) to determine factors associated with two binary outcomes: (1) consistent TB screening over 12-month period, and (2) correct utilization of the screening tool. …"
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    Development of a Battery of <i>In Silico</i> Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment حسب James Rathman (1632322)

    منشور في 2020
    "…Drug-induced liver injury (DILI) remains a challenge when translating knowledge from the preclinical stage to human use cases. Attempts to model human DILI directly based on the information from drug labels have had some success; however, the approach falls short of providing insights or addressing uncertainty due to the difficulty of decoupling the idiosyncratic nature of human DILI outcomes. …"