Datta Somnath, Beck James D
University of Louisville, Louisville, KY 40202, USA.
University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Stat Modelling. 2014 Dec 1;14(6):489-501. doi: 10.1177/1471082X14535481.
We develop robust methods for analyzing clustered data where estimation of marginal regression parameters is of interest. Inverse cluster size reweighting in the objective function to be minimized is incorporated to handle the issue of informative cluster size. Performance of the resulting estimators is studied by simulation. Large sample inference and variance estimation is carried out. The methodology is illustrated using a periodontal disease dataset.
我们开发了用于分析聚类数据的稳健方法，其中边际回归参数的估计是我们感兴趣的。在要最小化的目标函数中纳入逆聚类大小重新加权，以处理信息性聚类大小的问题。通过模拟研究所得估计量的性能。进行大样本推断和方差估计。使用牙周疾病数据集对该方法进行了说明。
