Handling estimating equation with nonignorably missing data based on SIR algorithm
作者：
Highlights：
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• A new method is proposed for the estimating equations with nonignorably missing data.
• The sampling importance resampling algorithm is suggested.
• No nonparametric kernel estimation procedure is involved in the whole estimation process.
• Simulation results show that the proposed method is robust and performs better.
摘要
•A new method is proposed for the estimating equations with nonignorably missing data.•The sampling importance resampling algorithm is suggested.•No nonparametric kernel estimation procedure is involved in the whole estimation process.•Simulation results show that the proposed method is robust and performs better.
论文关键词：Estimating equation,Kernel smoothing,Nonlinear,Nonignorably missing data,Monte Carlo simulation,Sampling importance resampling algorithm
论文评审过程：Received 1 April 2016, Available online 26 May 2017, Version of Record 9 June 2017.
论文官网地址：https://doi.org/10.1016/j.cam.2017.05.016
