Unknown

Dataset Information

Two-stage multivariate Mendelian randomization on multiple outcomes with mixed distributions.


ABSTRACT: In clinical research, it is important to study whether certain clinical factors or exposures have causal effects on clinical and patient-reported outcomes such as toxicities, quality of life, and self-reported symptoms, which can help improve patient care. Usually, such outcomes are recorded as multiple variables with different distributions. Mendelian randomization (MR) is a commonly used technique for causal inference with the help of genetic instrumental variables to deal with observed and unobserved confounders. Nevertheless, the current methodology of MR for multiple outcomes only focuses on one outcome at a time, meaning that it does not consider the correlation structure of multiple outcomes, which may lead to a loss of statistical power. In situations with multiple outcomes of inte

SUBMITTER: Deng Y 

PROVIDER: S-EPMC10515454 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature