| Reasoning about interference between units: A general framework J Bowers, MM Fredrickson, C Panagopoulos Political Analysis 21 (1), 97-124, 2013 | 202 | 2013 |
| RItools: Randomization inference tools J Bowers, M Fredrickson, B Hansen R package version 0.1-11, 2010 | 61 | 2010 |
| Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR Q Xu, A Man, M Fredrickson, Z Hou, J Pitkänen, B Wing, C Ramirez, B Li, ... Remote sensing of environment 216, 514-528, 2018 | 51 | 2018 |
| Permutation and randomization tests for network analysis MM Fredrickson, Y Chen Social Networks 59, 171-183, 2019 | 28 | 2019 |
| Maps in people’s heads: Assessing a new measure of context C Wong, J Bowers, D Rubenson, M Fredrickson, A Rundlett Political Science Research and Methods 8 (1), 160-168, 2020 | 27 | 2020 |
| Optmatch: functions for optimal matching B Hansen, M Fredrickson, J Buckner, J Errickson, P Solenberger R package version 0.1-3, URL http://www. stat. lsa. umich. edu/~ bbh …, 2005 | 25* | 2005 |
| Research note: A more powerful test statistic for reasoning about interference between units J Bowers, MM Fredrickson, PM Aronow Political Analysis 24 (3), 395-403, 2016 | 19 | 2016 |
| Chapter 8 Using Field Experiments to Understand Information as an Antidote to Corruption MS Winters, P Testa, MM Fredrickson New advances in experimental research on corruption, 213-246, 2012 | 15 | 2012 |
| RItools: randomization inference tools. R package version 0.1–11 J Bowers, M Fredrickson, B Hansen | 9 | 2017 |
| Estimating network-mediated causal effects via spectral embeddings A Hayes, MM Fredrickson, K Levin arXiv preprint arXiv:2212.12041, 2022 | 7 | 2022 |
| Comment: Matching methods for observational studies derived from large administrative databases MM Fredrickson, J Errickson, BB Hansen Statistical Science 35 (3), 2020 | 7 | 2020 |
| Optmatch: Functions for optimal matching (R package version 0.9-8) BB Hansen, M Fredrickson, J Buckner, J Errickson, P Solenberger | 6 | 2018 |
| RItools: Randomization Inference Tools, 2019 J Bowers, M Fredrickson, B Hansen R package version 0.1-17, 0 | 6 | |
| Reproduction Archive for:‘Attributing Effects to A Cluster Randomized Get-Out-The-Vote Campaign’ J Bowers, BB Hansen, MM Fredrickson Retrieved on 26, 2008 | 5 | 2008 |
| Package ‘RItools’ J Bowers, M Fredrickson, MJ Bowers | 4 | 2016 |
| Elected Officials, Empowered Voters: The Impact of Descriptive Representation on Voter Turnout M Hayes, C Wong, A Bloeser, M Fredrickson, C LaForge Political Behavior 46 (1), 185-207, 2024 | 3 | 2024 |
| Omitted Variable Sensitivity Analysis with the Annotated Love Plot. BB Hansen, MM Fredrickson Society for Research on Educational Effectiveness, 2014 | 3 | 2014 |
| Does the Context Fit the Outcome? When (or Where) Racial Context Should Affect Politics C Wong, J Bowers, D Rubenson, M Fredrickson, A Rundlett Symposium on Politics, Immigration, Race, and Ethnicity (SPIRE) conference …, 2012 | 2 | 2012 |
| Optimal Full Matching MM Fredrickson, B Hansen Handbook of Matching and Weighting Adjustments for Causal Inference, 87-104, 2023 | 1 | 2023 |
| Causal inference for complex data: randomization inference for treatment effect heterogeneity, network outcomes, and subgroup specific effects MM Fredrickson University of Illinois at Urbana-Champaign, 2018 | 1 | 2018 |
Daniel RubensonDepartment of Politics, Toronto Metropolitan UniversityVerified email at ryerson.ca