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Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models
Statistical Modelling ( IF 1.2 ) Pub Date : 2020-06-07 , DOI: 10.1177/1471082x20920972
Lauren J Beesley 1 , Jeremy MG Taylor 1
Affiliation  

Multistate modelling is a strategy for jointly modelling related time-to-event outcomes that can handle complicated outcome relationships, has appealing interpretations, can provide insight into di...

中文翻译:

具有缺失数据的复杂建模环境中的贝叶斯变量选择和收缩策略:使用多状态模型的案例研究

多状态建模是一种联合建模相关时间到事件结果的策略,可以处理复杂的结果关系,具有吸引人的解释,可以提供对不同...
更新日期:2020-06-07
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