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Qi Long, Ph.D. - Publications

Affiliations: 
Emory University, Atlanta, GA 
 2005 University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Biostatistics Biology, Public Health
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35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Min EJ, Long Q. Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data. Bmc Bioinformatics. 21: 141. PMID 32293260 DOI: 10.1186/S12859-020-3455-4  0.305
2019 Wang M, Long Q, Chen C, Zhang L. Assessing predictive accuracy of survival regressions subject to nonindependent censoring. Statistics in Medicine. PMID 31814158 DOI: 10.1002/Sim.8420  0.33
2019 Li Z, Roberts K, Jiang X, Long Q. Distributed Learning from Multiple EHR Databases: Contextual Embedding Models for Medical Events. Journal of Biomedical Informatics. 103138. PMID 30825539 DOI: 10.1016/J.Jbi.2019.103138  0.323
2018 Li Z, Chang C, Kundu S, Long Q. Bayesian generalized biclustering analysis via adaptive structured shrinkage. Biostatistics (Oxford, England). PMID 30596887 DOI: 10.1093/Biostatistics/Kxy081  0.322
2018 Min EJ, Safo SE, Long Q. Penalized Co-Inertia Analysis with Applications to -Omics Data. Bioinformatics (Oxford, England). PMID 30165424 DOI: 10.1093/Bioinformatics/Bty726  0.314
2018 Jang JH, Manatunga AK, Taylor AT, Long Q. Overall indices for assessing agreement among multiple raters. Statistics in Medicine. PMID 30062738 DOI: 10.1002/Sim.7912  0.317
2017 Zhao Y, Long Q. Variable Selection in the Presence of Missing Data: Imputation-based Methods. Wiley Interdisciplinary Reviews. Computational Statistics. 9. PMID 29085552 DOI: 10.1002/Wics.1402  0.312
2017 Safo SE, Li S, Long Q. Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information. Biometrics. PMID 28482123 DOI: 10.1111/Biom.12715  0.308
2016 Mishra-Kalyani PS, Johnson BA, Glass JD, Long Q. Estimating the palliative effect of percutaneous endoscopic gastrostomy in an observational registry using principal stratification and generalized propensity scores. Scientific Reports. 6: 33431. PMID 27640365 DOI: 10.1038/Srep33431  0.35
2016 Wang M, Long Q. Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic. Biometrics. PMID 26756274 DOI: 10.1111/Biom.12470  0.343
2015 Johnson BA, Long Q, Huang Y, Chansky K, Redman M. Model selection and inference for censored lifetime medical expenditures. Biometrics. PMID 26689300 DOI: 10.1111/Biom.12464  0.316
2015 Hsu CH, He Y, Li Y, Long Q, Friese R. Doubly robust multiple imputation using kernel-based techniques. Biometrical Journal. Biometrische Zeitschrift. PMID 26647734 DOI: 10.1002/Bimj.201400256  0.33
2015 Long Q, Johnson BA. Variable selection in the presence of missing data: resampling and imputation. Biostatistics (Oxford, England). 16: 596-610. PMID 25694614 DOI: 10.1093/Biostatistics/Kxv003  0.305
2014 Deng Y, Zhang X, Long Q. Bayesian modeling and prediction of accrual in multi-regional clinical trials. Statistical Methods in Medical Research. PMID 25367100 DOI: 10.1177/0962280214557581  0.476
2014 Hsu CH, Long Q, Li Y, Jacobs E. A nonparametric multiple imputation approach for data with missing covariate values with application to colorectal adenoma data. Journal of Biopharmaceutical Statistics. 24: 634-48. PMID 24697618 DOI: 10.1080/10543406.2014.888444  0.346
2013 Zhao Y, Long Q. Multiple imputation in the presence of high-dimensional data. Statistical Methods in Medical Research. PMID 24275026 DOI: 10.1177/0962280213511027  0.316
2012 Long Q, Zhang X, Zhao Y, Johnson BA, Bostick RM. Modeling clinical outcome using multiple correlated functional biomarkers: A Bayesian approach. Statistical Methods in Medical Research. PMID 23070593 DOI: 10.1177/0962280212460444  0.5
2012 Zhang X, Long Q. Joint monitoring and prediction of accrual and event times in clinical trials. Biometrical Journal. Biometrische Zeitschrift. 54: 735-49. PMID 22907686 DOI: 10.1002/Bimj.201100180  0.498
2012 Wang M, Flanders WD, Bostick RM, Long Q. A conditional likelihood approach for regression analysis using biomarkers measured with batch-specific error. Statistics in Medicine. 31: 3896-906. PMID 22826173 DOI: 10.1002/Sim.5473  0.302
2012 Long Q. A Note on Generalized Functional Linear Model and Its Application. Journal of Statistical Planning and Inference. 142: 2599-2606. PMID 22711973 DOI: 10.1016/J.Jspi.2012.02.027  0.304
2012 Zhang X, Long Q. Modeling and prediction of subject accrual and event times in clinical trials: a systematic review. Clinical Trials (London, England). 9: 681-8. PMID 22674642 DOI: 10.1177/1740774512447996  0.471
2012 Long Q, Hsu CH, Li Y. Doubly Robust Nonparametric Multiple Imputation for Ignorable Missing Data. Statistica Sinica. 22: 149-172. PMID 22347786 DOI: 10.5705/Ss.2010.069  0.358
2011 Long Q, Chung M, Moreno CS, Johnson BA. Risk Prediction for Prostate Cancer Recurrence Through Regularized Estimation with Simultaneous Adjustment for Nonlinear Clinical Effects. The Annals of Applied Statistics. 5: 2003-2023. PMID 22081781 DOI: 10.1214/11-Aoas458  0.333
2011 Hsu CH, Li Y, Long Q, Zhao Q, Lance P. Estimation of recurrence of colorectal adenomas with dependent censoring using weighted logistic regression. Plos One. 6: e25141. PMID 22065985 DOI: 10.1371/Journal.Pone.0025141  0.332
2011 Long Q, Zhang X, Hsu CH. Nonparametric multiple imputation for receiver operating characteristics analysis when some biomarker values are missing at random. Statistics in Medicine. 30: 3149-61. PMID 22025311 DOI: 10.1002/Sim.4338  0.516
2011 Johnson BA, Long Q, Chung M. On path restoration for censored outcomes. Biometrics. 67: 1379-88. PMID 21457193 DOI: 10.1111/J.1541-0420.2011.01587.X  0.335
2011 Long Q, Zhang X, Bostick RM. Semiparametric estimation for joint modeling of colorectal cancer risk and functional biomarkers measured with errors. Biometrical Journal. Biometrische Zeitschrift. 53: 393-410. PMID 21404316 DOI: 10.1002/Bimj.201000070  0.513
2011 Long Q, Zhang X, Johnson BA. Robust estimation of area under ROC curve using auxiliary variables in the presence of missing biomarker values. Biometrics. 67: 559-67. PMID 20825391 DOI: 10.1111/J.1541-0420.2010.01487.X  0.514
2010 Long Q, Little RJ, Lin X. Estimating Causal Effects in Trials Involving Multi-Treatment Arms Subject to Non-compliance: A Bayesian framework. Journal of the Royal Statistical Society. Series C, Applied Statistics. 59: 513-531. PMID 21637737 DOI: 10.1111/J.1467-9876.2009.00709.X  0.584
2010 Zhang X, Long Q. Stochastic modeling and prediction for accrual in clinical trials. Statistics in Medicine. 29: 649-58. PMID 20082363 DOI: 10.1002/Sim.3847  0.517
2009 Hsu CH, Taylor JM, Long Q, Alberts DS. Analysis of colorectal adenoma recurrence data subject to informative censoring. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. 18: 712-7. PMID 19240239 DOI: 10.1158/1055-9965.Epi-08-0866  0.337
2009 Little RJ, Long Q, Lin X. A comparison of methods for estimating the causal effect of a treatment in randomized clinical trials subject to noncompliance. Biometrics. 65: 640-9. PMID 18510650 DOI: 10.1111/J.1541-0420.2008.01066.X  0.587
2008 Clark NM, Janz NK, Dodge JA, Mosca L, Lin X, Long Q, Little RJ, Wheeler JR, Keteyian S, Liang J. The effect of patient choice of intervention on health outcomes. Contemporary Clinical Trials. 29: 679-86. PMID 18515187 DOI: 10.1016/J.Cct.2008.04.002  0.543
2008 Little RJ, Long Q, Lin X. Comment Journal of the American Statistical Association. 103: 1344-1346. DOI: 10.1198/016214508000000995  0.461
2008 Long Q, Little RJ, Lin X. Causal Inference in Hybrid Intervention Trials Involving Treatment Choice Journal of the American Statistical Association. 103: 474-484. DOI: 10.1198/016214507000000662  0.302
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