Author

Ao Yuan

associate professor of statistics, Georgetown University - Cited by 679 - statistics - biostatistics

Biography

Dr.  Ao Yuan is currently working in Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington DC, USA. He has published numerous research papers and articles in reputed journals and has various other achievements in the related studies. He has extended his valuable service towards the scientific community with his extensive research work. 
Title
Cited by
Year
A class of semiparametric cure models with current status data
G Diao, A YuanLifetime data analysis 25, 26-51, 2019201
14
2019
Subgroup analysis with semiparametric models toward precision medicine
A Yuan, X Chen, Y Zhou, MT TanStatistics in Medicine 37 (), 1830-1845, 2018201
11
2018
U-statistics with conditional kernels for incomplete data models
A Yuan, M Giurcanu, G Luta, MT TanAnnals of the Institute of Statistical Mathematics 69, 271-302, 2017201
10
2017
Linear mixed models for association analysis of quantitative traits with next‐generation sequencing data
C Chiu, F Yuan, B Zhang, A Yuan, X Li, HB Fang, K Lange, DE Weeks, ...Genetic epidemiology 43 (2), 19-206, 2019201
8
2019
Enhanced doubly robust procedure for causal inference
A Yuan, A Yin, MT TanStatistics in Biosciences, 1-25, 2021202
8
2021
Subgroup analysis with a nonparametric unimodal symmetric error distribution
A Yuan, Y Zhou, MT TanCommunications in Statistics-Theory and Methods 50 (1), 4000-4021, 2021202
7
2021
Inductive identification of functional status information and establishing a gold standard corpus: A case study on the Mobility domain
T Thieu, J Camacho, PS Ho, J Porcino, M Ding, L Nelson, E Rasch, ...201 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 20120
7
2017
Evaluating accuracy of diagnostic tests without conditional independence assumption
D Lu, C Zhou, L Tang, M Tan, A Yuan, L ChanStatistics in Medicine 37 (19), 2809-2821, 2018201
6
2018
Bayesian-frequentist hybrid approach for skew-normal nonlinear mixed-effects joint models in the presence of covariates measured with errors
G Han, Y Huang, A YuanStatistics and its Interface 11 (2), 223-236, 2018201
5
2018
Robust regression model for ordinal response
A Yuan, C Duan, MT TanStatistics and Its Interface 14 (3), 243-24, 2021202
5
2021
Hypothesis testing for multiple mean and correlation curves with functional data
A Yuan, HB Fang, H Li, CO Wu, MT TanStatistica Sinica 30 (2), 109-1116, 2020202
5
2020
Measuring gene–gene interaction using Kullback–Leibler divergence
G Chen, A Yuan, T Cai, CM Li, AR Bentley, J Zhou, D N. Shriner, ...Annals of Human Genetics 83 (6), 40-417, 2019201
5
2019
Gene-Based Association Testing of Dichotomous Traits With Generalized Functional Linear Mixed Models Using Extended Pedigrees: Applications to Age-Related Macular Degeneration
Y Jiang, CY Chiu, Q Yan, W Chen, MB Gorin, YP Conley, ...Journal of the American Statistical Association 116 (53), 531-55, 2021202
4
2021
An additive Cox model for coronary heart disease study
A Yuan, Y Guo, NM Shara, BV Howard, MT TanJournal of Applied Statistics 5 (7), 1325-136, 2018201
4
2018
Semiparametric isotonic regression modelling and estimation for group testing data
A Yuan, J Piao, J Ning, J QinCanadian Journal of Statistics 49 (), 659-677, 2021202
3
2021
Kernel-based hidden Markov conditional densities
JG De Gooijer, GE Henter, A YuanComputational Statistics & Data Analysis 169, 10741, 2022202
3
2022
Robust estimate of regional treatment effect in multi-regional randomized clinical trial in global drug development
A Yuan, S Wang, MT TanStatistics and Its Interface 11 (1), 129-19, 2018201
3
2018
Testing high-dimensional nonparametric Behrens-Fisher problem
Z Meng, N Li, A YuanJournal of Systems Science and Complexity 35 (3), 1098-1115, 0
2
2022
Evaluating the Accuracy of Small P‐Values In Genetic Association Studies Using Edgeworth Expansions
G Zheng, J Xiong, Q Li, J Xu, A Yuan, JL GastwirthScandinavian Journal of Statistics 45 (1), 1-33, 01801
2
2018
Estimation and Hypothesis Test for Mean Curve with Functional Data by Reproducing Kernel Hilbert Space Methods, with Applications in Biostatistics
M Xiong, A Yuan, HB Fang, CO Wu, MT TanMathematics 10 (3), 4549, 0
2
2022

Referred From: https://scholar.google.com/citations?hl=en&user=2mF894EAAAAJ

Cited by
Citations 679
h-index 13
i10-index 21
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