Общедоступные статьи - Molei LiuПодробнее...
1 статья недоступна нигде
Modeling individualized coefficient alpha to measure quality of test score data
M Liu, M Hu, XH Zhou
Statistics in Medicine 37 (22), 3230-3243, 2018
Финансирование: National Natural Science Foundation of China
21 статья доступна в некоторых источниках
Fast and powerful conditional randomization testing via distillation
M Liu, E Katsevich, L Janson, A Ramdas
Biometrika 109 (2), 277-293, 2022
Финансирование: US National Science Foundation, US National Institutes of Health
Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study
BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ...
EClinicalMedicine 55, 2023
Финансирование: US National Institutes of Health, British Heart Foundation, Government of …
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data
C Hong, E Rush, M Liu, D Zhou, J Sun, A Sonabend, VM Castro, ...
NPJ digital medicine 4 (1), 151, 2021
Финансирование: US Department of Energy, US National Institutes of Health, US Department of …
Individual data protected integrative regression analysis of high-dimensional heterogeneous data
T Cai, M Liu, Y Xia
Journal of the American Statistical Association 117 (540), 2105-2119, 2022
Финансирование: US National Institutes of Health, National Natural Science Foundation of China
International analysis of electronic health records of children and youth hospitalized with COVID-19 infection in 6 countries
FT Bourgeois, A Gutiérrez-Sacristán, MS Keller, M Liu, C Hong, ...
JAMA network open 4 (6), e2112596-e2112596, 2021
Финансирование: US National Institutes of Health, British Heart Foundation, UK Medical …
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality
GM Weber, C Hong, Z Xia, NP Palmer, P Avillach, S L’yi, MS Keller, ...
NPJ digital medicine 5 (1), 74, 2022
Финансирование: US National Institutes of Health, US Department of Veterans Affairs, British …
Integrative high dimensional multiple testing with heterogeneity under data sharing constraints
M Liu, Y Xia, K Cho, T Cai
Journal of Machine Learning Research 22 (126), 1-26, 2021
Финансирование: US National Institutes of Health, US Department of Veterans Affairs …
Hospitalizations associated with mental health conditions among adolescents in the US and France during the COVID-19 pandemic
A Gutiérrez-Sacristán, A Serret-Larmande, MR Hutch, C Sáez, BJ Aronow, ...
JAMA network open 5 (12), e2246548-e2246548, 2022
Финансирование: US National Institutes of Health, British Heart Foundation
International changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: retrospective cohort study
GM Weber, HG Zhang, S L'Yi, CL Bonzel, C Hong, P Avillach, ...
Journal of medical Internet research 23 (10), e31400, 2021
Финансирование: US National Institutes of Health, British Heart Foundation
Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium
F Sperotto, A Gutiérrez-Sacristán, S Makwana, X Li, VN Rofeberg, T Cai, ...
EClinicalMedicine 64, 2023
Финансирование: US National Institutes of Health, British Heart Foundation
Double/debiased machine learning for logistic partially linear model
M Liu, Y Zhang, D Zhou
The Econometrics Journal 24 (3), 559-588, 2021
Финансирование: US National Institutes of Health
Efficient evaluation of prediction rules in semi-supervised settings under stratified sampling
J Gronsbell, M Liu, L Tian, T Cai
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
Финансирование: US National Institutes of Health, Natural Sciences and Engineering Research …
Assessing the most vulnerable subgroup to type II diabetes associated with statin usage: Evidence from electronic health record data
X Guo, W Wei, M Liu, T Cai, C Wu, J Wang
Journal of the American Statistical Association 118 (543), 1488-1499, 2023
Финансирование: US National Institutes of Health
Prior adaptive semi-supervised learning with application to EHR phenotyping
Y Zhang, M Liu, M Neykov, T Cai
Journal of Machine Learning Research 23 (83), 1-25, 2022
Финансирование: US National Institutes of Health
Joint models for time-to-event data and longitudinal biomarkers of high dimension
M Liu, J Sun, JD Herazo-Maya, N Kaminski, H Zhao
Statistics in biosciences 11, 614-629, 2019
Финансирование: US National Institutes of Health, Robert Wood Johnson Foundation
Weakly semi-supervised phenotyping using electronic health records
IE Nogues, J Wen, Y Lin, M Liu, SK Tedeschi, A Geva, T Cai, C Hong
Journal of biomedical informatics 134, 104175, 2022
Финансирование: US National Science Foundation, US National Institutes of Health
Knowledge-driven online multimodal automated phenotyping system
X Xiong, SM Sweet, M Liu, C Hong, CL Bonzel, VA Panickan, D Zhou, ...
medRxiv, 2023.09. 29.23296239, 2023
Финансирование: US Department of Energy, US National Institutes of Health, US Department of …
Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with …
C Hong, HG Zhang, S L'Yi, G Weber, P Avillach, BWQ Tan, ...
BMJ open 12 (6), e057725, 2022
Финансирование: US National Institutes of Health, Government of Spain, National Medical …
A high-throughput phenotyping algorithm is portable from adult to pediatric populations
A Geva, M Liu, VA Panickan, P Avillach, T Cai, KD Mandl
Journal of the American Medical Informatics Association 28 (6), 1265-1269, 2021
Финансирование: US National Institutes of Health
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