
Combining multiple observational data sources to estimate causal effects
The era of big data has witnessed an increasing availability of multiple...
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Integration of survey data and big observational data for finite population inference using mass imputation
Multiple data sources are becoming increasingly available for statistica...
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DomainAdversarial MultiTask Framework for Novel Therapeutic Property Prediction of Compounds
With the rapid development of highthroughput technologies, parallel acq...
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Penetrating the Fog: the Path to Efficient CNN Models
With the increasing demand to deploy convolutional neural networks (CNNs...
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Semiparametric estimation of structural failure time model in continuoustime processes
Structural failure time models are causal models for estimating the effe...
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Semiparametric efficient estimation of structural nested mean models with irregularly spaced observations
Structural Nested Mean Models (SNMMs) are useful for causal inference of...
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Doubly Robust Inference when Combining Probability and Nonprobability Samples with Highdimensional Data
Nonprobability samples become increasingly popular in survey statistics...
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Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness
The problem of missingness in observational data is ubiquitous. When the...
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SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
Despite that accelerating convolutional neural network (CNN) receives an...
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Matrix Completion for Survey Data Prediction with Multivariate Missingness
Survey data are the goldstandard for estimating finite population param...
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Multicause causal inference with unmeasured confounding and binary outcome
Unobserved confounding presents a major threat to causal inference in ob...
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Two Dimensional Router: Design and Implementation
Higher dimensional classification has attracted more attentions with inc...
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Causal inference of hazard ratio based on propensity score matching
Propensity score matching is commonly used to draw causal inference from...
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A Tunably Compliant Origami Mechanism for Dynamically Dexterous Robots
We present an approach to overcoming challenges in dynamical dexterity f...
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A Unified Framework for Causal Inference with Multiple Imputation Using Martingale
Multiple imputation is widely used to handle confounders missing at rand...
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Statistical Data Integration in Survey Sampling: A Review
Finite population inference is a central goal in survey sampling. Probab...
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Double score matching estimators of average and quantile treatment effects
Propensity score matching has a long tradition for handling confounding ...
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A spatial causal analysis of wildland firecontributed PM2.5 using numerical model output
Wildland fire smoke contains hazardous levels of fine particulate matter...
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Integrative analysis of randomized clinical trials with real world evidence studies
We leverage the complementing features of randomized clinical trials (RC...
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Shu Yang
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