| Analysis of energy intensity in manufacturing industry using mixed-effects models D Kepplinger, M Templ, S Upadhyaya Energy 59, 754-763, 2013 | 54 | 2013 |
| Robust elastic net estimators for variable selection and identification of proteomic biomarkers GV Cohen Freue, D Kepplinger, M Salibián-Barrera, E Smucler Annals of Applied Statistics 13 (4), 2065-2090, 2019 | 35* | 2019 |
| How industrial development matters to the well-being of the population: Some statistical evidence S Upadhyaya, D Kepplinger Vienna: UNIDO, 2014 | 17 | 2014 |
| Variable selection with genetic algorithms using repeated cross-validation of PLS regression models as fitness measure D Kepplinger, P Filzmoser, K Varmuza arXiv preprint arXiv:1711.06695, 2017 | 7 | 2017 |
| Robust variable selection and estimation via adaptive elastic net S-estimators for linear regression D Kepplinger Computational Statistics & Data Analysis 183, 107730, 2023 | 4 | 2023 |
| Pense: A penalized elastic net s-estimator GVC Freue, D Kepplinger, M Salibián-Barrera, E Smucler | 4 | 2017 |
| Pressure reactivity index for early neuroprognostication in poor-grade subarachnoid hemorrhage JJ Chang, D Kepplinger, EJ Metter, DR Felbaum, JC Mai, RA Armonda, ... Journal of the Neurological Sciences 450, 120691, 2023 | 2 | 2023 |
| Robust estimation and variable selection in high-dimensional linear regression models D Kepplinger University of British Columbia, 2020 | 2 | 2020 |
| Recording animal-view videos of the natural world using a novel camera system and software package V Vasas, MC Lowell, J Villa, QD Jamison, AG Siegle, PKR Katta, ... PLoS biology 22 (1), e3002444, 2024 | 1* | 2024 |
| Robust Prediction and Protein Selection with Adaptive PENSE D Kepplinger, GV Cohen Freue Statistical Analysis of Proteomic Data: Methods and Tools, 315-331, 2021 | 1 | 2021 |
| PGCA: An algorithm to link protein groups created from MS/MS data D Kepplinger, M Takhar, M Sasaki, Z Hollander, D Smith, B McManus, ... Plos one 12 (5), e0177569, 2017 | 1 | 2017 |
| Discriminant analysis based on robust regularized covariance estimation D Kepplinger | 1 | 2015 |
| What is data science? A closer look at science’s latest priority dispute J Auerbach, D Kepplinger, N Rios Significance 21 (2), 11-14, 2024 | | 2024 |
| Whole blood coagulation in an ex vivo thrombus is sufficient to induce clot neutrophils to adopt a myeloid-derived suppressor cell signature and shed soluble Lox-1 J Leonard, D Kepplinger, V Espina, P Gillevet, Y Ke, KG Birukov, A Doctor, ... Journal of Thrombosis and Haemostasis 22 (4), 1031-1045, 2024 | | 2024 |
| Time Thresholds for Using Pressure Reactivity Index in Neuroprognostication for Patients With Severe Traumatic Brain Injury JJ Chang, D Kepplinger, EJ Metter, Y Kim, CT Trankiem, DR Felbaum, ... Neurosurgery, 10.1227, 2024 | | 2024 |
| A Randomized Comparison of Radial Artery Intimal Hyperplasia Following Distal Versus Proximal Transradial Access for Coronary Angiography: PRESERVE RADIAL BN Tehrani, MW Sherwood, AA Damluji, KC Epps, H Bakhshi, L Cilia, ... Journal of the American Heart Association, e031504, 2024 | | 2024 |
| METHOD FOR INDUCING AND DETECTING SOLUBLE LOX-1 (sLOX-1) IN CULTURED BLOOD CLOTS CD Hoemann, JA Leonard, VA Espina, D Kepplinger US Patent App. 18/321,738, 2023 | | 2023 |
| SUPPLEMENTARY MATERIAL FOR “ROBUST ELASTIC NET ESTIMATORS FOR VARIABLE SELECTION AND IDENTIFICATION OF PROTEOMIC BIOMARKERS” GVC Freue, D Kepplinger, M Salibián-Barrera, E Smucler | | |
| APPENDIX for PGCA: an algorithm to link protein groups created from MS/MS data D Kepplinger, M Takhar, M Sasaki, Z Hollander, D Smith, B McManus, ... | | |
