Luke W. Miratrix
Statistics and Probability · 2012–2017
A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 107 citations into it; #5,991 of 12,932 by trust here, #4,132 by citations
- Education — 35 citations into it
- Economics and Econometrics — 24 citations into it; #13,174 of 23,481 by trust here, #14,505 by citations
- Causal Inference & Discovery — 19 citations into it
- Artificial Intelligence — 13 citations into it
- Sociology and Political Science — 13 citations into it
- Gender Studies — 11 citations into it
- Safety Research — 9 citations into it
Whom Luke W. Miratrix trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- David Freedman
- W. Lin
- Guido W. Imbens
- Joshua D. Angrist
- Paul Holland
- Kosuke Imai
- Alberto Abadie
- Jasjeet S. Sekhon
- Diana C. Mutz
Who trusts Luke W. Miratrix overall
Papers from Luke W. Miratrix's perspective
Ordered by how strongly the researchers Luke W. Miratrix trusts endorse each paper. Same corpus, a different order for every researcher.
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- Statistics and Causal Inference
- Observational Studies
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The central role of the propensity score in observational studies for causal effects
- On regression adjustments to experimental data
- Making the Most out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts
- Bayesian Inference for Causal Effects: The Role of Randomization
- The behavior of maximum likelihood estimates under nonstandard conditions
- On regression adjustments in experiments with several treatments
Their papers
- Decomposing Treatment Effect Variation (2016) — 98 citations
- Principal Stratification (2015) — 27 citations
- Adjusting treatment effect estimates by post‐stratification in randomized experiments (2013) — 189 citations
- Worth Weighting? How to Think About and Use Weights in Survey Experiments (2017) — 169 citations
- Bridging Finite and Super Population Causal Inference (2017) — 50 citations
- Compared to what? Variation in the impacts of early childhood education by alternative care type (2016) — 125 citations
- Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness (2013) — 342 citations
- Differential effects of three professional development models on teacher knowledge and student achievement in elementary science (2012) — 267 citations