Publication details
Estimation of the current disease-free survival function
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Proceedings |
| Conference | Workshop of the Jaroslav Hájek Center and Financial Mathematics in Practice I, Book of short papers |
| MU Faculty or unit | |
| Citation | |
| Field | General mathematics |
| Keywords | survival analysis; matrix model; identification of parameters; quadratic programming; leukaemia |
| Description | The contribution deals with a principal characteristic of the efficacy of a disease treatment: the probability of being alive and disease-free in a time after the therapy initiation. It summarised a method of estimation the current disease-free survival based on non-parametric survival analysis and it propose a new one adopting some ideas from population ecology - matrix population models and identification of their parameters by means of the quadratic programming. The proposed method has been implemented using R language and its validity is documented on the data of Czech chronic myeloid leukaemia patients; the obtained results are compared with some recently published ones. |
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