2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/167916The 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.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)MethodologyRandomization Does Not Justify Logistic Regressiontext