Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1151635 | Statistics & Probability Letters | 2016 | 7 Pages |
Abstract
We extend the randomization-based causal inference framework in Dasgupta et al. (2015) for general 2K2K factorial designs, and demonstrate the equivalence between regression-based and randomization-based inferences. Consequently, we justify the use of regression-based methods in 2K2K factorial designs from a finite-population perspective.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Jiannan Lu,