Year |
Citation |
Score |
2020 |
Shen J, Qu A. Subgroup analysis based on structured mixed-effects models for longitudinal data. Journal of Biopharmaceutical Statistics. 1-16. PMID 32126871 DOI: 10.1080/10543406.2020.1730867 |
0.371 |
|
2020 |
Xue L, Shu X, Qu A. Time-Varying Estimation And Dynamic Model Selection With An Application Of Network Data Statistica Sinica. DOI: 10.5705/Ss.202017.0218 |
0.32 |
|
2020 |
Xue F, Qu A. Integrating Multisource Block-Wise Missing Data in Model Selection Journal of the American Statistical Association. 1-14. DOI: 10.1080/01621459.2020.1751176 |
0.329 |
|
2019 |
Xue L, Shu X, Shi P, Wu CO, Qu A. Time-varying feature selection for longitudinal analysis. Statistics in Medicine. PMID 31758598 DOI: 10.1002/Sim.8412 |
0.348 |
|
2019 |
Kinson C, Tang X, Zuo Z, Qu A. Longitudinal Principal Component Analysis With an Application to Marketing Data Journal of Computational and Graphical Statistics. 29: 335-350. DOI: 10.1080/10618600.2019.1677244 |
0.301 |
|
2018 |
Bi X, Qu A. A mixed-effects estimating equation approach to nonignorable missing longitudinal data with Refreshment samples Statistica Sinica. 28: 1653-1675. DOI: 10.5705/Ss.202015.0317 |
0.352 |
|
2018 |
Zheng X, Xue L, Qu A. Time-varying correlation structure estimation and local-feature detection for spatio-temporal data Journal of Multivariate Analysis. 168: 221-239. DOI: 10.1016/J.Jmva.2018.07.012 |
0.381 |
|
2017 |
Tang N, Zhao P, Qu A, Jiang D. Semiparametric Estimating Equations Inference with Nonignorable Missing Data Statistica Sinica. 27: 89-113. DOI: 10.5705/Ss.202015.0052 |
0.354 |
|
2017 |
Wang J, Shen X, Sun Y, Qu A. Automatic tagging with existing and novel tags Biometrika. 104: 273-290. DOI: 10.1093/Biomet/Asx016 |
0.3 |
|
2017 |
Bi X, Qu A, Wang J, Shen X. A Group-Specific Recommender System Journal of the American Statistical Association. 112: 1344-1353. DOI: 10.1080/01621459.2016.1219261 |
0.302 |
|
2016 |
Zhu X, Qu A. Individualizing drug dosage with longitudinal data. Statistics in Medicine. PMID 27311930 DOI: 10.1002/Sim.7016 |
0.381 |
|
2016 |
Tang X, Qu A. Mixture Modeling for Longitudinal Data Journal of Computational and Graphical Statistics. 25: 1117-1137. DOI: 10.1080/10618600.2015.1092979 |
0.407 |
|
2016 |
Wang P, Zhou J, Qu A. Correlation structure selection for longitudinal data with diverging cluster size Canadian Journal of Statistics-Revue Canadienne De Statistique. 44: 343-360. DOI: 10.1002/Cjs.11290 |
0.324 |
|
2015 |
Hu J, Wang P, Qu A. Estimating and Identifying Unspecified Correlation Structure for Longitudinal Data. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 24: 455-476. PMID 26361433 DOI: 10.1080/10618600.2014.909733 |
0.423 |
|
2015 |
Bi X, Qu A. Sufficient dimension reduction for longitudinal data Statistica Sinica. 25: 787-807. DOI: 10.5705/Ss.2013.168 |
0.397 |
|
2015 |
Cho H, Qu A. Efficient estimation for longitudinal data by combining large-dimensional moment conditions Electronic Journal of Statistics. 9: 1315-1334. DOI: 10.1214/15-Ejs1036 |
0.403 |
|
2014 |
Wang L, Xue L, Qu A, Liang H. Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates Annals of Statistics. 42: 592-624. DOI: 10.1214/13-Aos1194 |
0.422 |
|
2014 |
Wang X, Qu A. Efficient classification for longitudinal data Computational Statistics and Data Analysis. 78: 119-134. DOI: 10.1016/J.Csda.2014.04.008 |
0.539 |
|
2013 |
Green DM, Lange JM, Qu A, Peterson SM, Kalapurakal JA, Stokes DC, Grigoriev YA, Takashima JR, Norkool P, Friedman DL, Breslow NE. Pulmonary disease after treatment for Wilms tumor: a report from the national wilms tumor long-term follow-up study. Pediatric Blood & Cancer. 60: 1721-6. PMID 23776163 DOI: 10.1002/Pbc.24626 |
0.46 |
|
2013 |
Cho H, Qu A. Model selection for correlated data with diverging number of parameters Statistica Sinica. 23: 901-927. DOI: 10.5705/Ss.2011.058 |
0.419 |
|
2012 |
Wang L, Zhou J, Qu A. Penalized generalized estimating equations for high-dimensional longitudinal data analysis. Biometrics. 68: 353-60. PMID 21955051 DOI: 10.1111/J.1541-0420.2011.01678.X |
0.395 |
|
2012 |
Zhou J, Qu A. Informative estimation and selection of correlation structure for longitudinal data Journal of the American Statistical Association. 107: 701-710. DOI: 10.1080/01621459.2012.682534 |
0.405 |
|
2012 |
Wang P, Tsai GF, Qu A. Conditional inference functions for mixed-effects models with unspecified random-effects distribution Journal of the American Statistical Association. 107: 725-736. DOI: 10.1080/01621459.2012.665199 |
0.405 |
|
2011 |
Qu F, Chen Z, Wang X, Meng L, Wu Z, Qu A. Observing GLUT4 translocation in live L6 cells using quantum dots. Sensors (Basel, Switzerland). 11: 2077-89. PMID 22319399 DOI: 10.3390/s110202077 |
0.393 |
|
2011 |
Chen M, Wang Y, Hou T, Zhang H, Qu A, Wang X. Differential mitochondrial calcium responses in different cell types detected with a mitochondrial calcium fluorescent indicator, mito-GCaMP2. Acta Biochimica Et Biophysica Sinica. 43: 822-30. PMID 21880604 DOI: 10.1093/abbs/gmr075 |
0.366 |
|
2011 |
Qu A, Yi GY, Song PXK, Wang P. Assessing the validity of weighted generalized estimating equations Biometrika. 98: 215-224. DOI: 10.1093/Biomet/Asq078 |
0.387 |
|
2010 |
Xue L, Wang L, Qu A. Incorporating correlation for multivariate failure time data when cluster size is large Biometrics. 66: 393-404. PMID 19673860 DOI: 10.1111/J.1541-0420.2009.01307.X |
0.416 |
|
2010 |
Xue L, Qu A, Zhou J. Consistent model selection for marginal generalized additive model for correlated data Journal of the American Statistical Association. 105: 1518-1530. DOI: 10.1198/Jasa.2010.Tm10128 |
0.418 |
|
2010 |
Qu A, Lindsay BG, Lu L. Highly efficient aggregate unbiased estimating functions approach for correlated data with missing at random Journal of the American Statistical Association. 105: 194-204. DOI: 10.1198/Jasa.2009.Tm08506 |
0.599 |
|
2009 |
Wang X, Qu F, Chen Z, Liang T, Qu A. Labeling and imaging of GLUT4 in live L6 cells with quantum dots. Biochemistry and Cell Biology = Biochimie Et Biologie Cellulaire. 87: 687-94. PMID 19767831 DOI: 10.1139/o09-041 |
0.388 |
|
2009 |
Song PX, Jiang Z, Park E, Qu A. Quadratic inference functions in marginal models for longitudinal data. Statistics in Medicine. 28: 3683-96. PMID 19757486 DOI: 10.1002/Sim.3719 |
0.434 |
|
2009 |
Qu A, Jiang C, Xu M, Zhang Y, Zhu Y, Xu Q, Zhang C, Wang X. PGC-1alpha attenuates neointimal formation via inhibition of vascular smooth muscle cell migration in the injured rat carotid artery. American Journal of Physiology. Cell Physiology. 297: C645-53. PMID 19553562 DOI: 10.1152/ajpcell.00469.2008 |
0.373 |
|
2009 |
Wang L, Qu A. Consistent model selection and data-driven smooth tests for longitudinal data in the estimating equations approach Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71: 177-190. DOI: 10.1111/J.1467-9868.2008.00679.X |
0.418 |
|
2008 |
Zhang P, Song PX, Qu A, Greene T. Efficient estimation for patient-specific rates of disease progression using nonnormal linear mixed models. Biometrics. 64: 29-38. PMID 17501938 DOI: 10.1111/J.1541-0420.2007.00824.X |
0.37 |
|
2008 |
Qu A, Lee JJ, Lindsay BG. Model diagnostic tests for selecting informative correlation structure in correlated data Biometrika. 95: 891-905. DOI: 10.1093/Biomet/Asn051 |
0.606 |
|
2008 |
Tsai GF, Qu A. Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions Computational Statistics and Data Analysis. 52: 1387-1398. DOI: 10.1016/J.Csda.2007.03.018 |
0.588 |
|
2007 |
He R, Qu AJ, Mao JM, Wang X, Sun W. Synergistic proliferation induced by insulin and glycated serum albumin in rat vascular smooth muscle cells. Sheng Li Xue Bao : [Acta Physiologica Sinica]. 59: 1-7. PMID 17294035 |
0.367 |
|
2007 |
Wang L, Qu A. Robust tests in regression models with omnibus alternatives and bounded influence Journal of the American Statistical Association. 102: 347-358. DOI: 10.1198/016214506000001130 |
0.321 |
|
2006 |
Qu A, Li R. Quadratic inference functions for varying-coefficient models with longitudinal data. Biometrics. 62: 379-91. PMID 16918902 DOI: 10.1111/J.1541-0420.2005.00490.X |
0.432 |
|
2006 |
Pilla RS, Qu A, Loader C. Testing for order-restricted hypotheses in longitudinal data Journal of the Royal Statistical Society. Series B: Statistical Methodology. 68: 437-455. DOI: 10.1111/J.1467-9868.2006.00547.X |
0.375 |
|
2004 |
Qu A, Song PXK. Assessing robustness of generalised estimating equations and quadratic inference functions Biometrika. 91: 447-459. DOI: 10.1093/Biomet/91.2.447 |
0.393 |
|
2003 |
Yang Y, Wang X, Zhang Y, Qu A. [Effect of low molecular weight organic acids on Pb2+ adsorption and desorption by constant charge soil colloids]. Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology / Zhongguo Sheng Tai Xue Xue Hui, Zhongguo Ke Xue Yuan Shenyang Ying Yong Sheng Tai Yan Jiu Suo Zhu Ban. 14: 1921-4. PMID 14997647 |
0.355 |
|
2003 |
Lindsay BG, Qu A. Inference Functions and Quadratic Score Tests Statistical Science. 18: 394-410. DOI: 10.1214/Ss/1076102427 |
0.571 |
|
2003 |
Qu A, Lindsay BG. Building adaptive estimating equations when inverse of covariance estimation is difficult Journal of the Royal Statistical Society. Series B: Statistical Methodology. 65: 127-142. DOI: 10.1111/1467-9868.00376 |
0.582 |
|
2002 |
Zhu BC, Gao JG, Qu A, He L, Wang XQ, Zhang ZF, Zhang Y, Gao JF. [A family history of vitiligo with autosomal dominant inheritance]. Yi Chuan = Hereditas / Zhongguo Yi Chuan Xue Hui Bian Ji. 24: 254-6. PMID 16126675 |
0.351 |
|
2002 |
Qu A, Song PXK. Testing ignorable missingness in estimating equation approaches for longitudinal data Biometrika. 89: 841-850. DOI: 10.1093/Biomet/89.4.841 |
0.399 |
|
1999 |
Cai D, Qu AL, Wang XM, Zhou Z, Xu JH, Han JS. A method for preparation of carbon fiber electrode Acta Physiologica Sinica. 51: 692-699. PMID 11498941 |
0.372 |
|
Show low-probability matches. |