| Variations of Q–Q Plots: The Power of Our Eyes! A Loy, L Follett, H Hofmann The American Statistician 70 (2), 202-214, 2016 | 98 | 2016 |
| Graphical tests for power comparison of competing designs H Hofmann, L Follett, M Majumder, D Cook IEEE Transactions on Visualization and Computer Graphics 18 (12), 2441-2448, 2012 | 63 | 2012 |
| Association between antimicrobial drug class for treatment and retreatment of bovine respiratory disease (BRD) and frequency of resistant BRD pathogen isolation from veterinary … JF Coetzee, DR Magstadt, PK Sidhu, L Follett, AM Schuler, AC Krull, ... PloS one 14 (12), e0219104, 2019 | 33 | 2019 |
| Achieving parsimony in Bayesian vector autoregressions with the horseshoe prior L Follett, C Yu Econometrics and Statistics 11, 130-144, 2019 | 30 | 2019 |
| Hunger relief: A natural experiment from additional SNAP benefits during the COVID-19 pandemic A Bryant, L Follett The Lancet Regional Health–Americas 10, 2022 | 23 | 2022 |
| Forecasting foreign exchange markets using Google Trends: Prediction performance of competing models J Wilcoxson, L Follett, S Severe Journal of Behavioral Finance 21 (4), 412-422, 2020 | 23 | 2020 |
| Latent Dirichlet Allocation in predicting clinical trial terminations S Geletta, L Follett, M Laugerman BMC medical informatics and decision making 19, 1-12, 2019 | 18 | 2019 |
| Quantifying risk associated with clinical trial termination: A text mining approach L Follett, S Geletta, M Laugerman Information Processing & Management 56 (3), 516-525, 2019 | 18 | 2019 |
| A graphical exploration of the Deepwater Horizon oil spill L Follett, U Genschel, H Hofmann Computational Statistics 29, 121-132, 2014 | 12 | 2014 |
| Evaluation of conditions during weaned pig transport JD Harmon, SJ Hoff, TJ Baas, Y Zhao, H Xin, LR Follett Applied engineering in agriculture 33 (6), 901-912, 2017 | 10 | 2017 |
| Explaining variability in tourist preferences: A Bayesian model well suited to small samples L Follett, B Vander Naald Tourism Management 78, 104067, 2020 | 8 | 2020 |
| A Bayesian framework for estimating human capabilities H Henderson, L Follett World Development 129, 104872, 2020 | 7 | 2020 |
| Achieving parsimony in bayesian VARs with the horseshoe prior L Follett, C Yu arXiv preprint arXiv:1709.07524, 2017 | 4 | 2017 |
| Targeting social safety net programs on human capabilities H Henderson, L Follett World Development 151, 105741, 2022 | 3 | 2022 |
| Cash and Capabilities L Follett, H Henderson Available at SSRN 3578825, 2020 | 2 | 2020 |
| Heterogeneity in choice experiment data: A Bayesian investigation L Follett, B Vander Naald Journal of choice modelling 46, 100398, 2023 | 1 | 2023 |
| A hybrid approach to targeting social assistance L Follett, H Henderson Journal of Development Economics 160, 103002, 2023 | 1 | 2023 |
| Investigating the short and long-term effects of “nutritional-score” pricing on food pantry selections L Follett, A Bryant, D Beck, S Rice Appetite 168, 105692, 2022 | 1 | 2022 |
| Estimating gender inequalities in labor-market outcomes using mobile phone data G Seymour, L Follett, H Henderson CGIAR, 2023 | | 2023 |
| Leveraging Mobile Phone Big Data to Estimate Gender Inequalities in Labor Market Outcomes in Ghana G Seymour, L Follett CGIAR GENDER Impact Platform, 2023 | | 2023 |
