Estimating treatment effects in observational studies with both prevalent and incident cohorts.

ABSTRACT: Registry databases are increasingly being used for comparative effectiveness research in cancer. Such databases reflect the real-world patient population and physician practice, and thus are natural sources for comparing multiple treatment scenarios and the associated long-term clinical outcomes. Registry databases usually include both incident and prevalent cohorts, which provide valuable complementary information for patients with more recent diagnoses in the incident cohort as well as patients with long-term follow-up data in the prevalent cohort. However, utilizing such data to derive valid inference poses two major challenges: the data from a prevalent cohort are not random samples of the target population, and there may be substantial differences in the baseline characteristics of pa

SUBMITTER: Ning J 

PROVIDER: S-EPMC5646711 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature