| Results from a survey of faculty adoption of process oriented guided inquiry learning (POGIL) in computer science HH Hu, C Kussmaul, B Knaeble, C Mayfield, A Yadav Proceedings of the 2016 ACM Conference on Innovation and Technology in …, 2016 | 65 | 2016 |
| Nutrients and environment influence arbuscular mycorrhizal colonization both independently and interactively in Schizachyrium scoparium PN Frater, ET Borer, PA Fay, V Jin, B Knaeble, E Seabloom, L Sullivan, ... Plant and soil 425, 493-506, 2018 | 39 | 2018 |
| Reversals of least-square estimates and model-invariant estimation for directions of unique effects B Knaeble, S Dutter The American Statistician 71 (2), 97-105, 2017 | 20 | 2017 |
| All that bleeds is not black: susceptibility weighted imaging of intracranial hemorrhage and the effect of T1 signal MB Salmela, SH Krishna, DJ Martin, SK Roshan, AM McKinney, HG Tore, ... Clinical imaging 41, 69-72, 2017 | 13 | 2017 |
| Functional Electrical Stimulation (FES) and the effect on equine multifidi asymmetry DA Isbell, SJ Schils, SC Oakley, U Carraro, BR Knaeble Journal of Equine Veterinary Science 95, 103255, 2020 | 10 | 2020 |
| Variations on the projective central limit theorem B Knaeble PhD thesis, University of Utah, 2010 | 7* | 2010 |
| Regression analysis of unmeasured confounding B Knaeble, B Osting, MA Abramson Epidemiologic Methods 9 (1), 20190028, 2020 | 6 | 2020 |
| An asymptotic threshold of sufficient randomness for causal inference B Knaeble, B Osting, P Tshiaba Stat 12 (1), e609, 2023 | 5 | 2023 |
| Adjustment with three continuous variables B Knaeble Communications in Statistics-Simulation and Computation 48 (2), 627-633, 2019 | 3 | 2019 |
| Regression and random confounding B Knaeble Electronic Journal of Applied Statistical Analysis 8 (3), 346-359, 2015 | 3 | 2015 |
| Sections of cubes and rational approximation of pi times e B Knaeble, B Ramakrishna Submitted, 2014 | 2 | 2014 |
| Observational Causality Testing B Knaeble, B Osting, P Tshiaba Stat 13 (4), e70017, 2024 | 1 | 2024 |
| Partial Identification of the Average Treatment Effect with Stochastic Counterfactuals and Discordant Twins B Knaeble, B Osting, P Tshiaba arXiv preprint arXiv:2407.19057, 2024 | 1 | 2024 |
| Maximum Entropy Estimation of Heterogeneous Causal Effects B Knaeble, M Hakim-Hashemi, MA Abramson arXiv preprint arXiv:2407.08862, 2024 | 1 | 2024 |
| Quantifying Sufficient Randomness for Causal Inference B Knaeble, B Osting, P Tshiaba arXiv preprint arXiv:2103.05692, 2021 | 1 | 2021 |
| Odds are the sign is right B Knaeble, J Chan Biometrical Journal 60 (6), 1164-1171, 2018 | 1 | 2018 |
| Certain effects of uncertain models B Knaeble International Journal of Advanced Statistics and Probability 2, 2,124-134, 2014 | 1 | 2014 |
| Reversals of Least-Squares Estimates B Knaeble, S Dutter Manuscript submitted for publication, 2013 | 1 | 2013 |
| Simple conditions to theoretically limit potential confounding of least-squares estimates B Knaeble Manuscript submitted for publication, 2013 | 1 | 2013 |
| Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models B Knaeble, RM Hughes, G Rudolph, MA Abramson, D Razo arXiv preprint arXiv:2408.09634, 2024 | | 2024 |
Braxton OstingProfessor, University of UtahVerified email at math.utah.edu
