Estimating Time-Varying Effects of Prognostic Factors for Stomach Cancer Patients within a Dynamic Grouped Cox Model
Beschreibung
vor 28 Jahren
We describe the identification of prognostic factors in the
framework of a completely resected stomach cancer survival-study.
For the analysis the dynamic grouped Cox-Model was used allowing
for time-varying covariate effects. Therefore the hazard rate might
be non-proportional. As estimation concept we applied the posterior
mode, computed by iteratively weighted Kalman filtering and
smoothing steps. The medical study and questions are described, the
statistical method is illustrated, the results are given and
interpreted and the method is discussed.
framework of a completely resected stomach cancer survival-study.
For the analysis the dynamic grouped Cox-Model was used allowing
for time-varying covariate effects. Therefore the hazard rate might
be non-proportional. As estimation concept we applied the posterior
mode, computed by iteratively weighted Kalman filtering and
smoothing steps. The medical study and questions are described, the
statistical method is illustrated, the results are given and
interpreted and the method is discussed.
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