MODELS FOR ANALYSES OF LENGTH OF HOSPITAL STAY

患者结局研究团队(PORT)面临许多问题 在他们的研究中进行和分析。对梅迪斯的分析 肺炎口岸集团数据库突出统计 本分析和分析需要解决的问题 这项队列研究目前正在进行中。以下问题 最重要的是：为分析选择适当的模型 住院时间，引入了考虑变异性的模型 按医院及医院相关变量对住院时间长短的分析 并对住院期间死亡病例的治疗时间长短进行分析。 重点是建模技术的开发和实现 这将有助于分析停留时间数据。目前 将探索在这些数据集和结果中使用现有模型 的分析将被写成卫生服务文献。 将开发几种新的统计方法来分析这些 数据集，并将在统计和健康两个方面提出 服务文献。上述所有方法的结果将是 总结和优化的建模策略将在 卫生服务文献。

The patient outcome research teams (PORT) are faced with many problems in the conduct and analyses of their studies. Analyses of the Medis Group data bases for the pneumonia PORT have highlighted statistical issues that need to be addressed for this analysis and for the analysis of the cohort study which is currently underway. The following issues are of greatest importance: appropriate model -choice for the analysis of length of hospital stay, models to account for variability introduced by hospitals and hospital related variables in an analysis of length of stay, and the treatment of deaths in a length of stay analysis. The focus is on the development and implementation of modeling techniques that will be useful for analyzing length of stay data. Currently existing models will be explored for use in these data sets and results of analyses will be written up for the health services literature. Several new statistical methods will be developed for analyzing these data sets and will be presented in both the statistical and health services literature. Results from all of the above approaches will be summarized and optimal modeling strategies will be presented in the health services literature.