| Sufficient dimension reduction and prediction in regression KP Adragni, RD Cook Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2009 | 187 | 2009 |
| Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials AY Dawed, A Mari, A Brown, TJ McDonald, L Li, S Wang, MG Hong, ... The Lancet Diabetes & Endocrinology 11 (1), 33-41, 2023 | 37 | 2023 |
| Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration HR Wilman, CA Parisinos, N Atabaki-Pasdar, M Kelly, EL Thomas, ... Journal of Hepatology 71 (3), 594-602, 2019 | 27 | 2019 |
| Grassmannoptim: An R package for Grassmann manifold optimization KP Adragni, RD Cook, S Wu Journal of Statistical Software 50, 1-18, 2012 | 25 | 2012 |
| Sampling within k-means algorithm to cluster large datasets J Bejarano, K Bose, T Brannan, A Thomas, K Adragni, NK Neerchal, ... UMBC Student Collection, 2011 | 24 | 2011 |
| ManifoldOptim: An R interface to the ROPTLIB library for Riemannian manifold optimization S Martin, AM Raim, W Huang, KP Adragni arXiv preprint arXiv:1612.03930, 2016 | 18* | 2016 |
| ldr: An R software package for likelihood-based sufficient dimension reduction KP Adragni, AM Raim Journal of Statistical Software 61, 1-21, 2014 | 16 | 2014 |
| Insulin, not the preservative m-cresol, instigates loss of infusion site patency over extended durations of CSII in diabetic swine MR Swinney, AL Cox, ED Hawkins, J Xue, P Garhyan, JRL Stanley, ... Journal of Pharmaceutical Sciences 110 (3), 1418-1426, 2021 | 11 | 2021 |
| Group-wise sufficient dimension reduction with principal fitted components KP Adragni, E Al-Najjar, S Martin, SK Popuri, AM Raim Computational Statistics 31, 923-941, 2016 | 10 | 2016 |
| Minimum average deviance estimation for sufficient dimension reduction KP Adragni Journal of Statistical Computation and Simulation 88 (3), 411-431, 2018 | 7 | 2018 |
| Independent screening in high-dimensional exponential family predictors’ space KP Adragni Journal of Applied Statistics 42 (2), 347-359, 2015 | 5 | 2015 |
| Some basis functions for principal fitted components KP Adragni Work. Pap., Dep. Biostat., Univ. Ala. at Birmingham. http://userpages. umbc …, 2009 | 5 | 2009 |
| Dimension reduction and prediction in large p regressions KP Adragni University of Minnesota, 2009 | 4 | 2009 |
| A sequential test for variable selection in high dimensional complex data KP Adragni, M Karmakar Computational statistics & data analysis 81, 107-120, 2015 | 3 | 2015 |
| Pruning a sufficient dimension reduction with ap-value guided hard-thresholding KP Adragni, M Xi Statistics 50 (2), 254-270, 2016 | 1 | 2016 |
| Spatio-temporal analysis of precipitation data via a sufficient dimension reduction in parallel SK Popuri, RF Allison, L Miller, D Sykes, P Valle, NK Neerchal, ... UMBC Mathematics and Statistics Department, 2016 | 1 | 2016 |
| Risk-stratified imputation in survival analysis RE Kennedy, KP Adragni, HK Tiwari, JH Voeks, TG Brott, G Howard Clinical Trials 10 (4), 530-539, 2013 | 1 | 2013 |
| Block Cyclic Distribution of Data in pbdR and its Effects on Computational Efficiency MG Bachmann, AD Dyas, SC Kilmer, J Sass, A Raim, NK Neerchal, ... | 1 | 2013 |
| Sufficient dimension reduction constrained through sub-populations E Al-Najjar, KP Adragni Computational statistics & data analysis 111, 131-144, 2017 | | 2017 |
| Package ‘ldr’ KP Adragni, A Raim, MKP Adragni | | 2014 |
