ON REGRESSION ADJUSTMENTS IN EXPERIMENTS WITH SEVERAL TREATMENTS

被引：95

作者：

Freedman, David A. ^{[1
]}

机构：

[1] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA

来源：

ANNALS OF APPLIED STATISTICS | 2008年 / 2卷 / 01期

关键词：

Models; randomization; experiments; multiple regression; estimation; bias; balanced designs; intention-to-treat;

D O I：

10.1214/07-AOAS143

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：176 / 196

页数：21

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