Semiparametric additive risks model for interval-censored data

@inproceedings{Zeng2006SemiparametricAR,
  title={Semiparametric additive risks model for interval-censored data},
  author={Donglin Zeng and Jianwen Cai and Yu Shen},
  year={2006}
}
Interval-censored event time data often arise in medical and public health studies. In such a setting, the exact time of the event of interest cannot be observed and is only known to fall between two monitoring times. Our interest focuses on the estimation of the eect of risk factors on interval-censored data under the semiparametric additive hazards model. A nonparametric step-function is used to characterize the baseline hazard function. The covariate coecien ts are estimated by maximizing… CONTINUE READING

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