Exploring the Method for Analyzing Interval Censored Data Using Imputation in Competing Risks Model
نویسندگان
چکیده
We consider the problem of analyzing interval censored data comparing cumulative incidence functions by demographic variables in the presence of competing risks. In this paper, we explore two methods based on imputation, the EM-type method and Multiple Imputation. Basically, we imputed the exact event time for interval censored data and take advantage of standard estimation methods for right censored data. We analyzed data from the National Children’s Study to estimate cumulative risks of transition between Probability of Pregnancy Statuses and to examine the effect of major demographic variables.
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