Randomization Does Not Justify Logistic Regression
| dc.creator | Freedman, David A. | |
| dc.date | 2008-08-28 | |
| dc.date.accessioned | 2026-07-07T09:59:07Z | |
| dc.date.available | 2026-07-07T09:59:07Z | |
| dc.description | The logit model is often used to analyze experimental data. However, randomization does not justify the model, so the usual estimators can be inconsistent. A consistent estimator is proposed. Neyman's non-parametric setup is used as a benchmark. In this setup, each subject has two potential responses, one if treated and the other if untreated; only one of the two responses can be observed. Beside the mathematics, there are simulation results, a brief review of the literature, and some recommendations for practice. | |
| dc.description | Published in at http://dx.doi.org/10.1214/08-STS262 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0808.3914 | |
| dc.identifier | http://arxiv.org/abs/0808.3914 | |
| dc.identifier | Statistical Science 2008, Vol. 23, No. 2, 237-249 | |
| dc.identifier | doi:10.1214/08-STS262 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/167916 | |
| dc.subject | Methodology | |
| dc.title | Randomization Does Not Justify Logistic Regression | |
| dc.type | text |