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SIMEXBoost: An R package for analysis of high-dimensional error-prone data based on boosting method |
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2023-08 |
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2023-07 |
Variable selection and estimation for misclassified binary responses and multivariate error-prone predictors |
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2023-02 |
A new p-control chart with measurement error correction |
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2023-02 |
De-noising boosting methods for variable selection and estimation subject to error-prone variables |
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2022-10 |
BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data |
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2022-09 |
Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions |
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[BOOK REVIEW] Handbook of Meta-Analysis |
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2022-06 |
Network-based discriminant analysis for multiclassification |
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Nonparametric discriminant analysis with network structures in predictor |
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Unbiased boosting estimation for censored survival data |
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2022-04 |
[Book Review] Introduction to data science: Data analysis and prediction algorithms with R |
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2022-03 |
Sufficient dimension reduction for survival data analysis with error-prone variables |
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2022-01 |
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2022-01 |
[Book Review] The ESD Control Program Handbook |
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2021-12 |
Supervised learning for binary classification on US adult income |
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2021-09 |
Analysis of noisy survival data with graphical proportional hazards measurement error models |
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