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Transfer learning for error-contaminated Poisson regression models |
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| 2024-12 |
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| 2024-10 |
EATME: An R package for EWMA control charts with adjustments of measurement error |
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| 2024-09 |
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| 2024-09 |
Causal inference with high-dimensional error-prone covariates and misclassified treatments |
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| 2024-09 |
Feature screening via concordance indices for left-truncated and right-censored survival data |
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Accelerated failure time models with error-prone response and nonlinear covariates |
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Estimation of graphical models: An overview of selected topics |
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| 2024-06 |
Analysis of Length-Biased and Partly Interval-Censored Survival Data with Mismeasured Covariates |
conference |
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| 2024-06 |
Boosting method for length-biased and interval-censored survival data subject to high-dimensional error-prone covariates |
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| 2024-06 |
Variable selection and estimation for length-biased and partly interval-censored survival data with mismeasured covariates |
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| 2024-04 |
SIMEXBoost: An R package for analysis of high-dimensional error-prone data based on boosting method |
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| 2024-01 |
Unbiased boosting estimation for censored survival data |
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| 2023-12 |
Analysis of length-biased and partly interval-censored survival data with mismeasured covariates |
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| 2023-09 |
CHEMIST: an R package for causal inference with high-dimensional error-prone covariates and misclassified treatments |
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| 2023-08 |
A new EWMA control chart for monitoring multinomial proportions |
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| 2023-08 |
A note of feature screening via a rank-based coefficient of correlation |
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| 2023-08 |
A boosting method for variable selection and estimation with error-prone responses and predictors |
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| 2023-08 |
Variable selection and estimation for the average treatment effect with error-prone confounders |
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