| dynpred-package | The companion package of the book "Dynamic Prediction in Survival Analysis" |
| ALL | Data from the European Society for Blood and Marrow Transplantation (EBMT) |
| AUC | Calculate AUC(t) curve |
| AUCw | Calculate dynamic AUC(t) curve |
| cindex | Calculate Harrell's c-index |
| cutLM | Create landmark data set |
| CVcindex | Calculate cross-validated c-index |
| CVPL | Calculate cross-validated log-partial likelihood (with shrinkage) |
| deb | Debugging function |
| dynpred | The companion package of the book "Dynamic Prediction in Survival Analysis" |
| EBMT data | Data from the European Society for Blood and Marrow Transplantation (EBMT) |
| evalstep | Evaluate step function at a set of new time points |
| Fwindow | Calculate dynamic "death within window" curve |
| nki | Clinical and follow-up data of breast cancer patients as collected in the Dutch Cancer Institute (NKI) in Amsterdam |
| NKI breast cancer clinical data | Clinical and follow-up data of breast cancer patients as collected in the Dutch Cancer Institute (NKI) in Amsterdam |
| ova | Data originate from two clinical trials on the use of different combination chemotherapies, carried out in The Netherlands around 1980 |
| Ovarian cancer data | Data originate from two clinical trials on the use of different combination chemotherapies, carried out in The Netherlands around 1980 |
| pe | Calculate prediction error curve |
| pecox | Calculate prediction error curve |
| pew | Calculate dynamic prediction error curve |
| pewcox | Calculate dynamic prediction error curve |
| scatterplot | Create scatter plot with imputed survival times |
| toleranceplot | Create a tolerance plot |
| WBC follow-up data | Data from the Benelux CML study |
| WBC measurements data | Data from the Benelux CML study |
| wbc1 | Data from the Benelux CML study |
| wbc2 | Data from the Benelux CML study |