Parameter estimation of Weibull proportional odds model under interval-censored data
Modeling based on interval-censored data is one of the hotspots of complex data analysis at present.In this paper,the Weibull proportional odds model was established under the two types of interval-censored data.The parameter estimation of the model was given based on the maximum likelihood estimation and the asymptotic normality of the estimator was further discussed.Numerical simulation verified the estimation effect of model parameters.Then the proposed model was applied to AIDS clinical trial data and lung tumor experimental data,and the smooth survival function curve was drawn.Compared with the nonparametric maximum likelihood estimation of survival function,the proposed method has been proven to have better fitting effect.
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