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seminars:stat:160317 [2016/03/07 11:41]
shang
seminars:stat:160317 [2016/05/01 21:46] (current)
aleksey
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 +<WRAP centeralign>##​Statistics Seminar##\\ Department of Mathematical Sciences</​WRAP>​
  
 +~~META:​title =March 17, 2016~~
 +<WRAP 70% center>
 +^  **DATE:​**|Thursday,​ March 17, 2016 |
 +^  **TIME:​**|1:​15pm to 2:15pm |
 +^  **LOCATION:​**|WH 100E |
 +^  **SPEAKER:​**|Junyi Dong, Binghamton University |
 +^  **TITLE:​**|Diagnostic Plotting Methods for Proportional Hazards Models ​ With Time-dependent Covariates or Time-varying Regression Coefficients|
 +
 +</​WRAP>​
 +\\ 
 +
 +<WRAP center box 80%>
 +<WRAP centeralign>​**Abstract**</​WRAP>​Given a sample of regression data from $(Y,Z)$,
 +we propose several new diagnostic plotting methods for the Cox models
 +with the general external time-dependent covariates $Z$,
 +which can be continuous, or  with the
 +time-varying regression coefficients.
 +The main approach compares the non-parametric
 +MLE of the survival function ​ of $Y$
 +against its expected (correct) expression under the
 +given Cox model which can be mis-specified.
 +This is different from the existing methods in the literatures such as
 +log-log plots and residuals plots.
 +The simulation studies and the data analysis of our breast cancer
 +data suggest that the combination of these
 +diagnostic plotting methods we proposed performs quite satisfactorily.
 +These new diagnostic plotting methods naturally yield various
 +tests for checking the validity of the Cox models.
 +The main advantage of the new tests over the residual tests is
 +in the case that the data do not fit any PH model.
 +Then the new tests are still valid but not the residual tests. ​
 +</​WRAP>​