Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study.

ABSTRACT: In the era of big data, increasing availability of data makes combining different data sources to obtain more accurate estimations a popular topic. However, the development of data integration is often hindered by the heterogeneity in data forms across studies. In this paper, we focus on a case in survival analysis where we have primary study data with a continuous time-to-event outcome and complete covariate measurements, while the data from an external study contain an outcome observed at regular intervals, and only a subset of covariates is measured. To incorporate external information while accounting for the different data forms, we posit working models and obtain informative weights by empirical likelihood, which will be used to construct a weighted estimator in the main analysis. We

SUBMITTER: Deng D 

PROVIDER: S-EPMC11747882 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature