On regression adjustments in experiments with several treatments
| dc.creator | Freedman, David A. | |
| dc.date | 2008-03-26 | |
| dc.date.accessioned | 2026-07-07T12:17:52Z | |
| dc.date.available | 2026-07-07T12:17:52Z | |
| dc.description | Regression adjustments are often made to experimental data. Since randomization does not justify the models, bias is likely; nor are the usual variance calculations to be trusted. Here, we evaluate regression adjustments using Neyman's nonparametric model. Previous results are generalized, and more intuitive proofs are given. A bias term is isolated, and conditions are given for unbiased estimation in finite samples. | |
| dc.description | Published in at http://dx.doi.org/10.1214/07-AOAS143 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0803.3757 | |
| dc.identifier | http://arxiv.org/abs/0803.3757 | |
| dc.identifier | Annals of Applied Statistics 2008, Vol. 2, No. 1, 176-196 | |
| dc.identifier | doi:10.1214/07-AOAS143 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/212224 | |
| dc.subject | Applications | |
| dc.title | On regression adjustments in experiments with several treatments | |
| dc.type | text |