Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study X Wang, G Hripcsak, M Markatou, C Friedman Journal of the American Medical Informatics Association 16 (3), 328-337, 2009 | 371 | 2009 |
Intrahepatic levels of CXCR3‐associated chemokines correlate with liver inflammation and fibrosis in chronic hepatitis C M Zeremski, LM Petrovic, L Chiriboga, QB Brown, HT Yee, ... Hepatology 48 (5), 1440-1450, 2008 | 293 | 2008 |
Automated acquisition of disease–drug knowledge from biomedical and clinical documents: an initial study ES Chen, G Hripcsak, H Xu, M Markatou, C Friedman Journal of the American Medical Informatics Association 15 (1), 87-98, 2008 | 263 | 2008 |
Semiparametric estimation of regression models for panel data JL Horowitz, M Markatou The Review of Economic Studies 63 (1), 145-168, 1996 | 223 | 1996 |
Weighted likelihood equations with bootstrap root search M Markatou, A Basu, BG Lindsay Journal of the American Statistical Association 93 (442), 740-750, 1998 | 185 | 1998 |
Analysis of variance of cross-validation estimators of the generalization error M Markatou, H Tian, S Biswas, GM Hripcsak | 149 | 2005 |
Text mining for the Vaccine Adverse Event Reporting System: medical text classification using informative feature selection T Botsis, MD Nguyen, EJ Woo, M Markatou, R Ball Journal of the American Medical Informatics Association 18 (5), 631-638, 2011 | 146 | 2011 |
Peripheral CXCR3-associated chemokines as biomarkers of fibrosis in chronic hepatitis C virus infection M Zeremski, R Dimova, Q Brown, IM Jacobson, M Markatou, AH Talal The Journal of infectious diseases 200 (11), 1774-1780, 2009 | 135 | 2009 |
Mixture models, robustness, and the weighted likelihood methodology M Markatou Biometrics 56 (2), 483-486, 2000 | 123 | 2000 |
Combining knowledge and data driven insights for identifying risk factors using electronic health records J Sun, J Hu, D Luo, M Markatou, F Wang, S Edabollahi, SE Steinhubl, ... AMIA Annual Symposium Proceedings 2012, 901, 2012 | 115 | 2012 |
A semiparametric method for clustering mixed data A Foss, M Markatou, B Ray, A Heching Machine Learning 105, 419-458, 2016 | 100 | 2016 |
Pharmacodynamics of PEG‐IFN α differentiate HIV/HCV coinfected sustained virological responders from nonresponders AH Talal, RM Ribeiro, KA Powers, M Grace, C Cullen, M Hussain, ... Hepatology 43 (5), 943-953, 2006 | 98 | 2006 |
Weighted likelihood estimating equations: The discrete case with applications to logistic regression M Markatou, A Basu, B Lindsay Journal of Statistical Planning and Inference 57 (2), 215-232, 1997 | 98 | 1997 |
Automated knowledge acquisition from clinical narrative reports X Wang, A Chused, N Elhadad, C Friedman, M Markatou AMIA Annual Symposium Proceedings 2008, 783, 2008 | 95 | 2008 |
Inter-patient distance metrics using SNOMED CT defining relationships GB Melton, S Parsons, FP Morrison, AS Rothschild, M Markatou, ... Journal of biomedical informatics 39 (6), 697-705, 2006 | 95 | 2006 |
Distance metrics and clustering methods for mixed‐type data AH Foss, M Markatou, B Ray International Statistical Review 87 (1), 80-109, 2019 | 86 | 2019 |
Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics H Cao, M Markatou, GB Melton, MF Chiang, G Hripcsak AMIA Annual Symposium Proceedings 2005, 106, 2005 | 85 | 2005 |
Bounded influence and high breakdown point testing procedures in linear models M Markatou, X He Journal of the American Statistical Association 89 (426), 543-549, 1994 | 85 | 1994 |
kamila: clustering mixed-type data in R and Hadoop AH Foss, M Markatou Journal of Statistical Software 83, 1-44, 2018 | 83 | 2018 |
A framework for patient-centered telemedicine: application and lessons learned from vulnerable populations AH Talal, EM Sofikitou, U Jaanimägi, M Zeremski, JN Tobin, M Markatou Journal of biomedical informatics 112, 103622, 2020 | 77 | 2020 |