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seminars:stat:181129

**This is an old revision of the document!**

Statistics Seminar

Department of Mathematical Sciences

DATE: | Thursday, November 29, 2018 |
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TIME: | 1:15pm – 2:15pm |

LOCATION: | WH 100E |

SPEAKER: | Qiqing Yu, Binghamton University |

TITLE: | The Proportional Hazards Modelwith Linearly Time-dependent Covariates and Interval-censored Data |

**Abstract**

The semi-parametric estimation under the proportional hazards (PH) model with a linearly time-dependent covariates and with interval-censored data has not been investigated before. The partial likelihood approach does not work and one has to use the generalized likelihood function (GLF). There is a challenge in this problem. The GLF must be in the form of the baseline hazard function, rather than the baseline survival function as in the PH model with time-independent covariates, and a feasible way to specify the hazard function is a piece-wise constant function. However, several naive ways do not yield a consistent estimator. We propose proper modifications of the GLF.

seminars/stat/181129.1543439002.txt · Last modified: 2018/11/28 16:03 by qyu

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