Birs- 22w5010: Emerging Challenges for Statistics and Data Sciences: Complex Data with Missingness, Measurement Errors, and High Dimensionality
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Title: Towards deriving graphical rules for efficient estimation in causal graphical models
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Title: Are deep learning models superior for missing data imputation in surveys? Evidence from an empirical comparison
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Title: An information projection approach to propensity score estimation for handling selection bias in voluntary samples
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Title: Estimating human brain organisation by fusion across functional imaging datasets
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Title: Random-forest model-assisted estimation in finite population sampling
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Title: Trials with Irregular and Informative Assessment Times: A Sensitivity Analysis Approach
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Title: Statistical Issues on Large Administrative Health Data
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Title: Matrix Completion with Model-free Weighting
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Title: Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
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Title: Penalized doubly robust regression-based estimation of adaptive treatment strategies
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Title: Integrating summary information from many external studies with heterogeneous populations
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Title: Identifiability of direct and indirect effects in mediation studies with nonignorable missingness in mediator and outcome
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Title: Semiparametric adaptive estimation under informative sampling
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Title: Dual-frame estimation approaches for combining probability and nonprobability samples
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Title: Supervised learning with missing values
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Title: Statistical Exploitation of Unlabeled Data under High Dimensionality
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Title: Multiple model-assisted approach to missing data in survey sampling: more than multiply robustness
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Title: Assessing causal effects in the presence of treatment switching through principal stratification
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Title: Experimental Evaluation of Algorithm-Assisted Human Decision Making
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Title: Nonparametric Estimation of Heterogeneous Effects
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