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Addressing challenges with Matching-Adjusted Indirect Comparisons to demonstrate the comparative effectiveness of entrectinib in metastatic ROS-1 positive Non-Small Cell Lung Cance...
Published 2025-03-01“…The QBA performed on the missing data allowed to exclude the potential impact of the missing data on the estimate of comparative effectiveness, even though approximately half of the ECOG Performance Status data were missing. …”
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Deep learning models for the analysis of high-dimensional survival data with time-varying covariates while handling missing data
Published 2025-07-01“…We employ the time-dependent concordance index (C-index) and Brier scores to assess the models’ predictive accuracy. We also address missing data using missForest, evaluating model performance on imputed and complete-case datasets. …”
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A Systematic Review of Methods for Handling Missing Variance Data in Meta-Analyses of Interventions in Type 2 Diabetes Mellitus.
Published 2016-01-01“…The objectives of this study are to summarise and describe the methods used for handling missing variance data in meta-analyses in populations with type 2 diabetes mellitus (T2DM).…”
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86
Application of Seed Miss Prevention System for a Spoon-Wheel Type Precision Seed Metering Device: Effectiveness and Limitations
Published 2025-06-01“…This study evaluates the application of a Seed Miss Prevention System (SMPS) integrated with a spoon-wheel precision metering device to mitigate seed misses and enhance its performance. …”
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Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM
Published 2024-12-01“…Methods Missing values were generated under missing completely at random (MCAR) mechanism at 10%, 15%, 25%, and 35% rates of missingness using complete data of 24-h ambulatory diastolic blood pressure readings. …”
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A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO<sub>2</sub> Data over Taiwan
Published 2025-06-01“…This study presents a novel application of a hybrid regression–kriging (RK) and machine learning (ML) framework to impute missing tropospheric NO<sub>2</sub> data from the TROPOMI satellite over Taiwan during the winter months of January, February, and December 2022. …”
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91
Fear of Missing Out (FoMO) and Preferential Hunting Behavior on E-Commerce Platforms: A Case Study of Shopee and Lazada
Published 2025-07-01“… This study investigated the psychological mechanism through which Fear of Missing Out (FoMO) influenced consumers’ preferential hunting behavior on two leading e-commerce platforms in Vietnam: Shopee and Lazada. …”
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Poor reporting quality and high proportion of missing data in economic evaluations alongside pragmatic trials: a cross-sectional survey
Published 2025-03-01“…Descriptive analyses were performed to assess the characteristics of the included studies, missingness in the included studies, and handling of missing data. …”
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ERROR HANDLING IN INTEGRATION WORKFLOWS
Published 2017-06-01“…An error is defined as any abnormal behavior of a tool that invalidates its result data thus disrupting the data flow within the integration workflow. The main requirementto the error handling mechanism implemented by the integration environment is to prevent abnormal termination of theentire workflow in case of missing intermediate results data. …”
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Investigating vector-like leptons decaying into an electron and missing transverse energy in e+ e − collisions with s $$ \sqrt{s} $$ = 500 GeV at the ILC
Published 2025-03-01“…The signal topology consists of missing transverse energy and dilepton. If no new physics is discovered, the study sets 95% confidence level exclusion limits on the mass of vector-like leptons.…”
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The superior coupled model with innovative strategy for accurate imputation of missing hydrological monitoring data in water research-A case of groundwater level data
Published 2025-12-01“…The missing hydrological monitoring data pose challenges to regional water resource analysis and research. …”
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How mobile phone addiction leads to college students’ learning burnout: the role of depression as a mediator and fear of missing out as a moderator
Published 2025-06-01“…This study aims to explore how mobile phone addiction leads to college students’ learning burnout, with a focus on the mediating role of depression and the moderating role of FOMO (Fear of Missing Out).MethodsConvenient sampling was used to collect 1862 valid questionnaires from over 10 universities in China. …”
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Metrics for biodiversity and health policy integration.
Published 2025-01-01“…We conclude with actionable steps to enhance governance, mobilize funding, and apply integrated indicators in national and global strategies. …”
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Longitudinal bidirectional relation between fear of missing out and risky loot box consumption: Evidence for FoMO-Driven loot boxes spiral hypothesis
Published 2024-12-01“…Background: The integration of loot boxes has emerged as a significant factor contributing to the increasing revenue in the video gaming industry. …”
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