On regression adjustments to experimental data

Regression adjustments are often made to experimental data. Since randomization does not justify the models, almost anything can happen. Here, we evaluate results using Neyman's non-parametric model, where each subject has two potential responses, one if treated and the other if untreated. Only...

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Bibliographic Details
Published in:	Advances in applied mathematics Vol. 40; no. 2; pp. 180 - 193
Main Author:	Freedman, David A.
Format:	Journal Article
Language:	English
Published:	San Diego, CA Elsevier Inc 01.02.2008 Elsevier
Subjects:	Balance Exact sciences and technology General mathematics General, history and biography Intention-to-treat Mathematics Multiple regression Numerical analysis Numerical analysis. Scientific computation Randomization Sciences and techniques of general use Randomization 62A01 Models Balance 62J99 Multiple regression Intention-to-treat Asymptotic expansion Error estimation Applied mathematics 62J99. Models
ISSN:	0196-8858, 1090-2074
Online Access:	Get full text
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