Troxel A B
Columbia University School of Public Health, New York, NY 10032, USA.
Stat Med. 1998;17(5-7):767-79. doi: 10.1002/(sici)1097-0258(19980315/15)17:5/7<767::aid-sim820>3.0.co;2-b.
Longitudinal quality of life measurements from an advanced-stage cancer clinical trial are analysed using a variety of methods, and the results compared. The methods used require different assumptions about the mechanism that produces the missing data. They include analyses that require the data to be missing completely at random; fixed-effects models and weighted generalized estimating equations, which require missing at random data; and a fully parametric approach where the outcomes and the missingness mechanism are jointly modelled, allowing non-ignorable missing data. The data show evidence of non-random missingness, but a formal test of non-ignorable missing data is not significant.
来自一项晚期癌症临床试验的纵向生活质量测量数据采用了多种方法进行分析，并对结果进行了比较。所使用的方法对产生缺失数据的机制有不同的假设。这些方法包括要求数据完全随机缺失的分析；固定效应模型和加权广义估计方程，它们要求数据随机缺失；以及一种完全参数化方法，其中对结果和缺失机制进行联合建模，允许存在不可忽略的缺失数据。数据显示存在非随机缺失的证据，但对不可忽略的缺失数据进行的正式检验并不显著。
