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关于使用多重归算来解决设计中缺失的数据以及在具有二进制终点的案例队列研究中意外缺失的数据

Melissa Middleton1,2, Cattram Nguyen3,4, John B Carlin3,4

  • 1Clinical Epidemiology & Biostatistics Unit, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia. melissa.middleton@mcri.edu.au.

BMC medical research methodology
|December 7, 2023
PubMed
概括

对于具有二元结果的案例和队列研究,联合多重归算 (MI) 和反向概率加权 (IPW) 方法是处理有意和无意丢失数据的最佳方法,比仅MI或仅IPW的方法更少的偏差.

关键词:
一个案例-队列研究.反向的概率权衡方式.缺少的数据数据.多重的归咎是多重的归咎.模拟研究是一项模拟研究.

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