拟合模式混合模型的策略。

Strategies to fit pattern-mixture models.

作者信息

Thijs Herbert, Molenberghs Geert, Michiels Bart, Verbeke Geert, Curran Desmond

机构信息

Biostatistics, Center for Statistics, Limburgs Universitair Centrum, Universitaire Campus, B-3590 Diepenbeek, Belgium.

出版信息

Biostatistics. 2002 Jun;3(2):245-65. doi: 10.1093/biostatistics/3.2.245.

DOI:10.1093/biostatistics/3.2.245

PMID:12933616

Abstract

Whereas most models for incomplete longitudinal data are formulated within the selection model framework, pattern-mixture models have gained considerable interest in recent years (Little, 1993, 1994). In this paper, we outline several strategies to fit pattern-mixture models, including the so-called identifying restrictions strategy. Multiple imputation is used to apply this strategy to realistic settings, such as quality-of-life data from a longitudinal study on metastatic breast cancer patients.

摘要

虽然大多数不完全纵向数据模型是在选择模型框架内制定的，但模式混合模型近年来引起了相当大的关注（利特尔，1993年，1994年）。在本文中，我们概述了几种拟合模式混合模型的策略，包括所谓的识别限制策略。多重填补被用于将此策略应用于实际情况，比如来自转移性乳腺癌患者纵向研究的生活质量数据。