Mark M. Fredrickson
Mark M. Fredrickson
Postdoctoral Research Fellow, University of Michigan, Ann Arbor
Verified email at umich.edu
Title
Cited by
Cited by
Year
Reasoning about interference between units: A general framework
J Bowers, MM Fredrickson, C Panagopoulos
Political Analysis 21 (1), 97-124, 2013
1442013
RItools: Randomization inference tools
J Bowers, M Fredrickson, B Hansen
R package version 0.1-11, 2010
472010
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
172018
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
142016
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
14*2005
Using field experiments to understand information as an antidote to corruption
MS Winters, P Testa, MM Fredrickson
New advances in experimental research on corruption, 2012
132012
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
112020
RItools: randomization inference tools. R Package Version 2; 2010
J Bowers, M Fredrickson, B Hansen
6
Permutation and randomization tests for network analysis
MM Fredrickson, Y Chen
Social Networks 59, 171-183, 2019
52019
Package ‘RItools’
J Bowers, M Fredrickson, MJ Bowers
42019
Omitted Variable Sensitivity Analysis with the Annotated Love Plot.
BB Hansen, MM Fredrickson
Society for Research on Educational Effectiveness, 2014
32014
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
22012
Machine learning and causal inference: A modular approach to assessing the effects of the london bombings of 2005
J Bowers, MM Fredrickson, BB Hansen, C Panagopoulos
12015
Ethnicity and Electoral Fraud in New Democracies: Modelling Political Party Agents in Ghana
N Ichino, J Bowers, MM Fredrickson
12013
Race, Representation, and Political Participation: Conceptualization and Measurement of Empowerment
M Hayes, A Bloeser, M Fredrickson, C LaForge, C Wong
12011
A simulation study of knowledge
M Fredrickson, J Ostrowski
12010
XBALANCE: Stata module to compute standardized differences for stratified comparisons via R
J Bowers, M Fredrickson, B Hansen
Boston College Department of Economics, 2009
12009
Comment: Matching Methods for Observational Studies Derived from Large Administrative Databases
MM Fredrickson, J Errickson, BB Hansen
Statistical Science 35 (3), 361-366, 2020
2020
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
2018
Quantification of uncertainty in aboveground biomass estimates derived from small-footprint LiDAR data
Q Xu, A Man, MM Fredrickson, JJ Balamuta, J Pitkänen, Z Xu, C Ramirez, ...
AGU Fall Meeting Abstracts 2016, B44C-04, 2016
2016
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Articles 1–20