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Li, H., Zhang, H., Zhu, L., Li, N. and Sun, J. (2020), Estimation of the additive hazards model with interval‐censored data and missing covariates. Can J Statistics, 48: 499-517. doi:10.1002/cjs.11544
This paper discusses regression analysis of time-to-event data or the determination of the relationship between a time-to-event variable and a group of predictors when the observed data are incomplete or the time-to-event variable can be only observed to belong to an interval. Furthermore, there may exist some missing values for the predictors, and the situation considered can often occur in many areas including demographical, epidemiological, financial, medical and sociological studies. To deal with the problem, the paper developed some statistical methods or tools by employing the so-called inverse probability weighting and reweighting techniques. Also the authors showed through both numerical and theoretical studies that the methods are valid and work well in reality. They provide important techniques to both statisticians and practitioners who face such problems and allow them to carry out efficient and valid analysis.