On Randomization-based and Regression-based Inferences for 2^K Factorial Designs
Methodology
2016-02-15 v1
Abstract
We extend the randomization-based causal inference framework in Dasgupta et al. (2015) for general 2^K factorial designs, and demonstrate the equivalence between regression-based and randomization-based inferences. Consequently, we justify the use of regression-based methods in 2^K factorial designs from a finite-population perspective.
Cite
@article{arxiv.1602.03972,
title = {On Randomization-based and Regression-based Inferences for 2^K Factorial Designs},
author = {Jiannan Lu},
journal= {arXiv preprint arXiv:1602.03972},
year = {2016}
}