Search Results for author: Yong Cai

Found 13 papers, 1 papers with code

Linear Regression with Centrality Measures

no code implementations18 Oct 2022 Yong Cai

(2) We develop distributional theory for OLS estimators under measurement error and sparsity, finding that OLS estimators are subject to asymptotic bias even when they are consistent.


FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR

no code implementations11 Jul 2022 Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao

In the past decade, with the development of big data technology, an increasing amount of patient information has been stored as electronic health records (EHRs).

Graph Attention Recommendation Systems

On the Performance of the Neyman Allocation with Small Pilots

no code implementations9 Jun 2022 Yong Cai, Ahnaf Rafi

The Neyman Allocation and its conditional counterpart are used in many papers on experiment design, which typically assume that researchers have access to large pilot studies.

Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices

1 code implementation2 May 2022 Eric Auerbach, Yong Cai

We then propose a new matrix analog of quantile treatment effects that is given by a difference in the eigenvalues.

Experimental Design

Panel Data with Unknown Clusters

no code implementations10 Jun 2021 Yong Cai

We show that our procedure recovers the true clusters with high probability with no assumptions on the cluster structure.

A Modified Randomization Test for the Level of Clustering

no code implementations3 May 2021 Yong Cai

However, a researcher that has chosen to cluster at the county level may be unsure of their decision, given knowledge that observations are independent across states.

Some Finite Sample Properties of the Sign Test

no code implementations2 Mar 2021 Yong Cai

This paper contains two finite-sample results about the sign test.

On the implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters

no code implementations17 Feb 2021 Yong Cai, Ivan A. Canay, Deborah Kim, Azeem M. Shaikh

This paper provides a user's guide to the general theory of approximate randomization tests developed in Canay, Romano, and Shaikh (2017) when specialized to linear regressions with clustered data.

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks

no code implementations1 Jul 2019 Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

Rare diseases affecting 350 million individuals are commonly associated with delay in diagnosis or misdiagnosis.

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model

no code implementations1 Jul 2019 Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare.

Time Series

Semi-supervised Rare Disease Detection Using Generative Adversarial Network

no code implementations3 Dec 2018 Wenyuan Li, Yunlong Wang, Yong Cai, Corey Arnold, Emily Zhao, Yilian Yuan

Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures.

Rare Disease Physician Targeting: A Factor Graph Approach

no code implementations19 Jan 2017 Yong Cai, Yunlong Wang, Dong Dai

For a specified rare disease, only a small number of patients are affected and a fractional of physicians are involved.

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