Annie Qu
Annie Qu
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Use of tissue-type plasminogen activator for acute ischemic stroke: the Cleveland area experience
IL Katzan, AJ Furlan, LE Lloyd, JI Frank, DL Harper, JA Hinchey, ...
Jama 283 (9), 1151-1158, 2000
Improving generalised estimating equations using quadratic inference functions
A Qu, BG Lindsay, B Li
Biometrika 87 (4), 823-836, 2000
Quadratic inference functions for varying‐coefficient models with longitudinal data
A Qu, R Li
Biometrics 62 (2), 379-391, 2006
Penalized generalized estimating equations for high‐dimensional longitudinal data analysis
L Wang, J Zhou, A Qu
Biometrics 68 (2), 353-360, 2012
Consistent model selection for marginal generalized additive model for correlated data
L Xue, A Qu, J Zhou
Journal of the American Statistical Association 105 (492), 1518-1530, 2010
Variable selection in high-dimensional varying-coefficient models with global optimality
L Xue, A Qu
Inference functions and quadratic score tests
BG Lindsay, A Qu
Statistical Science 18 (3), 394-410, 2003
Assessing robustness of generalised estimating equations and quadratic inference functions
A Qu, PXK Song
Biometrika 91 (2), 447-459, 2004
Building adaptive estimating equations when inverse of covariance estimation is difficult
A Qu, BG Lindsay
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2003
Long-term continuous cropping in the Pacific Northwest: Tillage and fertilizer effects on winter wheat, spring wheat, and spring barley production
S Machado, S Petrie, K Rhinhart, A Qu
Soil and Tillage Research 94 (2), 473-481, 2007
Consistent model selection and data‐driven smooth tests for longitudinal data in the estimating equations approach
L Wang, A Qu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
Maximum likelihood inference in robust linear mixed-effects models using multivariate t distributions
PXK Song, P Zhang, A Qu
Statistica Sinica, 929-943, 2007
Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
L Wang, L Xue, A Qu, H Liang
Annals of Statistics 42 (2), 592-624, 2014
Informative estimation and selection of correlation structure for longitudinal data
J Zhou, A Qu
Journal of the American Statistical Association 107 (498), 701-710, 2012
Quadratic inference functions in marginal models for longitudinal data
PXK Song, Z Jiang, E Park, A Qu
Statistics in medicine 28 (29), 3683-3696, 2009
Diagnosis of basal-like breast cancer using a FOXC1-based assay
TW Jensen, T Ray, J Wang, X Li, WY Naritoku, B Han, F Bellafiore, ...
Journal of the National Cancer Institute 107 (8), djv148, 2015
Efficient estimation for patient‐specific rates of disease progression using nonnormal linear mixed models
P Zhang, PXK Song, A Qu, T Greene
Biometrics 64 (1), 29-38, 2008
Laboratory measures of hemostasis and fibrinolysis after intravenous administration of ε-aminocaproic acid in clinically normal horses and ponies
P Heidmann, SJ Tornquist, A Qu, CK Cebra
American journal of veterinary research 66 (2), 313-318, 2005
Model selection for correlated data with diverging number of parameters
H Cho, A Qu
Statistica Sinica, 901-927, 2013
Testing ignorable missingness in estimating equation approaches for longitudinal data
A Qu, PXK Song
Biometrika 89 (4), 841-850, 2002
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