A standardized approach to estimating survival statistics for population-based cystic fibrosis registry cohorts.

ABSTRACT:

Objectives

Our objective was to quantify the effect of different statistical techniques, inclusion/exclusion criteria, and missing data on the predicted median survival age.

Study design and setting

Using the Canadian cystic fibrosis registry (CCFR), the median age of survival was calculated using both the Cox proportional hazards (PH) and the life-table methods. Through simulations, we examined how the median age of survival would change when: (1) patients were excluded, (2) death dates were inaccurate, (3) patients were lost to follow-up, (4) entire years with no clinic visits were excluded even if the​ patient had a visit in subsequent years, and (5) censoring patients at their date of transplant. Simulations were run assuming 5-35% of data were affected by each scenario.

SUBMITTER: Sykes J 

PROVIDER: S-EPMC4889445 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature