Impact of nonrandom selection mechanisms on the causal effect estimation for two-sample Mendelian randomization methods.

Nonrandom selection in one-sample Mendelian Randomization (MR) results in biased estimates and inflated type I error rates only when the selection effects are sufficiently large.In two-sample MR, the different selection mechanisms in two samples may more seriously affect the causal effect estimation.Firstly, we propose sufficient conditions for cau

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Integration of UH SUH, HEC-RAS, and GIS in Flood Mitigation with Flood Forecasting and Early Warning System for Gilireng Watershed, Indonesia

A flood forecasting and early warning system is critical for rivers that have a large flood potential, one of which is Guide Rod Plug the Gilireng watershed, which floods every year and causes many losses in Wajo Regency, Indonesia.This research also introduces an integration model between UH SUH and HEC-RAS in flood impact analysis, as a reference

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