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It is often challenging to share detailed individual‐level data among studies due to various informatics and privacy constraints. However, it is relatively easy to pool together aggregated summary level data, such as the ones required for standard meta‐analyses. Focusing on data generated from case‐control studies, we present a flexible inference procedure that integrates individual‐level data collected...
Mendelian randomization (MR) analysis uses genotypes as instruments to estimate the causal effect of an exposure in the presence of unobserved confounders. The existing MR methods focus on the data generated from prospective cohort studies. We develop a procedure for studying binary outcomes under a case‐control design. The proposed procedure is built upon two working models commonly used for MR analyses...
Mendelian randomization (MR) is a type of instrumental variable (IV) analysis that uses genetic variants as IVs for a risk factor to study its causal effect on an outcome. Extensive investigations on the performance of IV analysis procedures, such as the one based on the two‐stage least squares (2SLS) procedure, have been conducted under the one‐sample scenario, where measures on IVs, the risk factor,...
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