Methodological approaches to analyzing IVF data with multiple cycles.

ABSTRACT: STUDY QUESTION:Which methodological approaches are most appropriate for analyzing IVF data with multiple cycles in the context of a binary outcome? SUMMARY ANSWER:Both mixed effect models and generalized estimating equation (GEE) modeling approaches can account for multiple IVF cycles and may reduce bias over first-cycle only approaches, but CIs were narrowest with cluster-weighted generalized estimating equation models (CWGEE). WHAT IS KNOWN ALREADY:There is a lack of consensus among investigators regarding how to best incorporate data from multiple cycles and whether to present odds or risks in the analysis of IVF data. Failure to account for correlated outcomes within individuals and informative cluster size may lead to invalid CIs and biased estimates. STUDY DESIGN, SIZE, DURATION:The

SUBMITTER: Yland J 

PROVIDER: S-EPMC6389861 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature