Imputing pre-diagnosis health behaviour in cancer registry data and investigating its relationship with oesophageal cancer survival time.

ABSTRACT:

Background

As oesophageal cancer has short survival, it is likely pre-diagnosis health behaviours will have carry-over effects on post-diagnosis survival times. Cancer registry data sets do not usually contain pre-diagnosis health behaviours and so need to be augmented with data from external health surveys. A new algorithm is introduced and tested to augment cancer registries with external data when one-to-one data linkage is not available.

Methods

The algorithm is to use external health survey data to impute pre-diagnosis health behaviour for cancer patients, estimate misclassification errors in these imputed values and then fit misclassification corrected Cox regression to quantify the association between pre-diagnosis health behaviour and post-diagnosis survival. Data fr

SUBMITTER: Fahey PP 

PROVIDER: S-EPMC8670692 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature