Prediction of second malignant neoplasm incidence in a large cohort of long-term survivors of childhood cancers.

ABSTRACT:

Background

The ability to predict adverse-event occurrences accurately in long-term survivors of childhood cancer is of high importance in late effects research, both clinically and methodologically.

Procedure

This article considers a statistical prediction of future events in a cohort, taking second malignant neoplasm (SMN) incidence in a large cohort of long-term childhood cancer survivors as an example. The method consists of dividing the follow-up period of the cohort into two non-overlapping periods, using the first period as "training data," with which we model the patterns of SMN occurrences in the cohort, and the subsequent period as "testing data," with which we validate the model based on the training data. Future predictions are also applied beyond the testing-dat

SUBMITTER: Dinu I 

PROVIDER: S-EPMC12290456 | biostudies-literature | 2008 May

REPOSITORIES: biostudies-literature