ACADSTAFF UGM
| Title | : | Analysis Survival for Cancer Patient with Stacked Method |
| Author | : |
ATINA HUSNAQILATI (1) Dr. Herni Utami, S.Si., M.Si. (2) Drs. Danardono, MPH., Ph.D. (3) |
| Date | : | 2017 |
| Keyword | : | -,Brier scor,cancer,integrated survivail squared error, Inverse Probability of Censoring Weights , Stacked Method,Survival Function Regression -,Brier scor,cancer,integrated survivail squared error, Inverse Probability of Censoring Weights , Stacked Method,Survival Function Regression |
| Abstract | : | Cancer becomes frightening disease for everyone. Until now there has not been found a method of treatment that can cure the disease in thoroughly. Researchers continue to seek influence the development of cancer cells are one of the analyses that can be used to know that use survival analysis. The approach to combine multiple survival models (parametric, semi-parametric, and nonparametric) use “stacked” method where each model has a weight. The Weights are determined for each model are based on the minimum value of the combined errors in the models. The loss function that use to get the value of error is Brier score used data without censored while for censored survival use the Inverse Probability of Censoring Weights (IPCW) Brier score as his approach to determining Weights for each model. ISSE obtained on stacked models for clinic Edward Health Center (EHC) data.Br |
| Group of Knowledge | : | Matematika |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
Published
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| No | Title | Action |
|---|---|---|
| 1 |
PaperID131_ISTIE2017.pdf
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