Recently, because there is information inflation, collected data generally include missing or censored values. Therefore, it is hard modelling and analyzing datasets accurately especially in medical and clinical studies. In this paper, to handle the right-censored data which is the most common kind of censored data, three different solution methods are introduced. After that to see their effects on the modelling process, the semiparametric regression model is used based on smoothing spline.
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