Molei Liu

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Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints

Molei Liu, Tianxi Cai, Kelly Cho, 2020, J. Mach. Learn. Res..

Assessing Heterogeneous Risk of Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data

T. Cai, Xinzhou Guo, Jingshen Wang, 2022 .

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, npj Digital Medicine.

A high-throughput phenotyping algorithm is portable from adult to pediatric populations

Tianxi Cai, Kenneth D. Mandl, Molei Liu, 2021, J. Am. Medical Informatics Assoc..

Privacy Preserving Integrative Regression Analysis of High-dimensional Heterogeneous Data

Yin Xia, T. Cai, Molei Liu, 2019, 1902.06115.

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2

Brett K. Beaulieu-Jones, Florence T. Bourgeois, Robert W. Follett, 2022, BMJ Open.

Semi-supervised Triply Robust Inductive Transfer Learning

Tianxi Cai, Molei Liu, Mengyan Li, 2022, 2209.04977.

Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features

Tianxi Cai, Molei Liu, Doudou Zhou, 2022, 2208.05134.

Efficient evaluation of prediction rules in semi‐supervised settings under stratified sampling

L. Tian, J. Gronsbell, Tianxi Cai, 2022, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data

T. Cai, Xinzhou Guo, Jingshen Wang, 2022, 2205.06960.

Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data

T. Cai, Xinzhou Guo, Jingshen Wang, 2022, Journal of the American Statistical Association.

International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: a 4CE Consortium Study (Preprint)

Jeffrey G. Klann, Robert W. Follett, Darren W. Henderson, 2021 .

Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features

Tianxi Cai, Molei Liu, Doudou Zhou, 2022, Journal of the American Statistical Association.

SCRIBE: a new approach to dropout imputation and batch effects correction for single-cell RNA-seq data

Molei Liu, Hongyu Zhao, Yiliang Zhang, 2019 .

Double/debiased machine learning for logistic partially linear model

Yi Zhang, Molei Liu, Doudou Zhou, 2020, 2009.14461.

Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data

Molei Liu, Tianxi Cai, Yin Xia, 2019, Journal of the American Statistical Association.

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2021, Scientific Reports.

Evolving phenotypes of non-hospitalized patients that indicate long COVID

Jason W. Moore, Brett K. Beaulieu-Jones, Tiago K. Colicchio, 2021, BMC Medicine.

International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study

Jeffrey G. Klann, Robert W. Follett, Darren W. Henderson, 2021, Journal of medical Internet research.

Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, JAMA network open.

Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models.

Molei Liu, Yi Zhang, Tianxi Cai, 2020 .

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling

L. Tian, T. Cai, J. Gronsbell, 2020, ArXiv.

Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models

T. Cai, K. Liao, Molei Liu, 2020, 2010.02521.

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping

T. Cai, Matey Neykov, Molei Liu, 2020, 2003.11744.

Surrogate-Assisted Federated Learning of high dimensional Electronic Health Record Data

Zijian Guo, Tianxi Cai, Molei Liu, 2023, 2302.04970.

International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries

Jeffrey G. Klann, Deanne M. Taylor, I. Kohane, 2021, JAMA network open.

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, eClinicalMedicine.

Fast and powerful conditional randomization testing via distillation.

Lucas Janson, Molei Liu, Aaditya Ramdas, 2020, Biometrika.

Modeling individualized coefficient alpha to measure quality of test score data

Xiaohua Zhou, Molei Liu, M. Hu, 2018, Statistics in medicine.

Modeling Coefficient Alpha for Measurement of Individualized Test Score Internal Consistency

Xiaohua Zhou, Molei Liu, M. Hu, 2017, 1709.02675.

Improve Efficiency of Doubly Robust Estimator when Propensity Score is Misspecified

Molei Liu, Liang Lyu, 2023, 2301.02162.

Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program

T. Assimes, S. Grant, S. Luoh, 2023, medRxiv.

Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints

Yin Xia, T. Cai, Kelly Cho, 2020, J. Mach. Learn. Res..

Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension

Jiehuan Sun, Molei Liu, Jose D. Herazo-Maya, 2016, Statistics in Biosciences.

International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study

Jeffrey S. Morris, Jeffrey G. Klann, R. Bellazzi, 2020, medRxiv.

Differential Associations of Interleukin 6 Receptor Variant Across Genetic Ancestries and Implications for Targeted Therapies

Harrison G. Zhang, K. Liao, Y. Ho, 2022, medRxiv.

Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models

T. Cai, K. Liao, Molei Liu, 2020, 2010.02521.

Knowledge-Driven Online Multimodal Automated Phenotyping System

T. Cai, J. Gaziano, Y. Ho, 2023, medRxiv.