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Type
Journal article
Date
2024
2023
2022
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2020
2019
2017
2013
Multivariate dynamic mediation analysis under a reinforcement learning framework
Mediation analysis is an important analytic tool commonly used in a broad range of scientific applications. In this article, we study …
Lan Luo*
,
Chengchun Shi*
,
Jitao Wang*
,
Zhenke Wu
,
Lexin Li
,
(* Co-first authors)
PDF
Online causal inference with application to near real-time post-market vaccine safety surveillance
Streaming data routinely generated by social networks, mobile or web applications, e-commerce, and electronic health records present …
Luo
,
L.
,
Risk
,
M. and Shi
,
X.
PDF
Code
Efficient quantile covariate adjusted response adaptive experiments
In program evaluation studies, understanding the heterogeneous distributional impacts of a program beyond the average effect is …
Li
,
Z.
,
Luo
,
L.
,
Wang
,
J. and Feng
,
L.
Statistical inference in high-dimensional generalized linear models with streaming data
Lan Luo*
,
Ruijian Han*
,
Yuanyuan Lin and Jian Huang (* Co-first author)
PDF
Online inference with debiased stochastic gradient descent
We propose a debiased stochastic gradient descent algorithm for online statistical inference with high-dimensional data. Our approach …
Ruijian Han*
,
Lan Luo*
,
Yuanyuan Lin
,
and Jian Huang (* Co-first author)
PDF
Code
A fast solution to the lasso problem with equality constraints
Tran
,
L.
,
Li
,
G.
,
Luo
,
L. and Jiang
,
H.
Statistical Inference for Streamed Longitudinal Data
Modern longitudinal data, for example from wearable devices, measure biological signals on a fixed set of participants at a diverging …
Lan Luo
,
Jingshen Wang
,
and Emily C. Hector
PDF
Code
Project
Online Two-Way Estimation and Inference via Linear Mixed-Effects Models
In this article, we tackle the estimation and inference problem of analyzing distributed streaming data that is collected continuously …
Lan Luo
,
Lexin Li
PDF
Project
Parallel-and-Stream Accelerator for Computationally Fast Supervised Learning
Two dominant distributed computing strategies have emerged to overcome the computational bottleneck of supervised learning with big …
Emily C. Hector*
,
Lan Luo*
,
and Peter X.-K. Song (* Co-first author)
PDF
Real-time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches
This paper develops an incremental learning algorithm based on quadratic inference function (QIF) to analyze streaming datasets with …
Lan Luo
,
Ling Zhou
,
and Peter X.-K. Song
PDF
Code
DOI
Multivariate Online Regression Analysis with Heterogeneous Streaming Data
New data collection and storage technologies have given rise to a new field of streaming data analytics, including real-time …
Lan Luo
,
Peter X.-K. Song
DOI
Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Datasets
This paper presents an incremental updating algorithm to analyze streaming datasets using generalized linear models. The proposed …
Lan Luo
,
Peter X.-K. Song
PDF
Code
Project
Detection and Prediction of Ovulation from Body Temperature Measured by An In-Ear Wearable Therometer
Objective: We present a non-invasive wearable device for fertility monitoring and propose an effective and flexible statistical …
Lan Luo
,
Xichen She
,
Jiexuan Cao
,
Yunlong Zhang
,
Yijiang Li
,
Peter X.K. Song
Project
DOI
Identification of gene pairs through penalized regression Subject to constraints
Rex Shen
,
Lan Luo
,
Hui Jiang
PDF
Code
Novel EDA p.Ile260Ser Mutation Linked to Non-syndromic Hypodontia
Y. Yang
,
L. Luo
,
J. Xu
,
P. Zhu
,
W. Xue
,
J. Wang
,
W. Li
,
M. Wang
,
K. Cheng
,
S. Liu
,
Z. Tang
,
B.Z. Ring
,
L. Su
PDF
DOI
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