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On randomization-based and regression-based inferences for 2K factorial designs
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lu, Jiannan |
| Copyright Year | 2016 |
| Abstract | We extend the randomization-based causal inference framework in Dasgupta et al. (2015) for general 2K factorial designs, and demonstrate the equivalence between regression-based and randomization-based inferences. Consequently, we justify the use of regression-based methods in 2K factorial designs from a finite-population perspective. |
| Starting Page | 72 |
| Ending Page | 78 |
| Page Count | 7 |
| File Format | PDF HTM / HTML |
| DOI | 10.1016/j.spl.2016.01.010 |
| Alternate Webpage(s) | https://arxiv.org/pdf/1602.03972v1.pdf |
| Alternate Webpage(s) | https://doi.org/10.1016/j.spl.2016.01.010 |
| Volume Number | 112 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
