Hullsiek Katherine Huppler, Louis Thomas A
Division of Biostatistics, School of Public Health, University of Minnesota, 2221 University Avenue S.E., Minneapolis, MN 55414, USA.
Biostatistics. 2002 Jun;3(2):179-93. doi: 10.1093/biostatistics/3.2.179.
Propensity score methods are used to estimate a treatment effect with observational data. This paper considers the formation of propensity score subclasses by investigating different methods for determining subclass boundaries and the number of subclasses used. We compare several methods: balancing a summary of the observed information matrix and equal-frequency subclasses. Subclasses that balance the inverse variance of the treatment effect reduce the mean squared error of the estimates and maximize the number of usable subclasses.
倾向得分方法用于通过观察性数据估计治疗效果。本文通过研究确定子类边界和所使用子类数量的不同方法来考虑倾向得分子类的形成。我们比较了几种方法：平衡观测信息矩阵的汇总和等频率子类。平衡治疗效果逆方差的子类可降低估计值的均方误差，并使可用子类的数量最大化。
