Inverse probability weighted Cox model in multi-site studies without sharing individual-level data.

ABSTRACT: The inverse probability weighted Cox proportional hazards model can be used to estimate the marginal hazard ratio. In multi-site studies, it may be infeasible to pool individual-level datasets due to privacy and other considerations. We propose three methods for making inference on hazard ratios without the need for pooling individual-level datasets across sites. The first method requires a summary-level eight-column risk-set table to produce the same hazard ratio estimate and robust sandwich variance estimate as those from the corresponding pooled individual-level data analysis (reference analysis). The second and third methods, which are based on two bootstrap re-sampling strategies, require a summary-level four-column risk-set table and bootstrap-based risk-set tables from each site to

SUBMITTER: Shu D 

PROVIDER: S-EPMC7042068 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature