Výsledky vyhledávání - "Kim, Honghyok"

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Sample Size and Bias Approximations For Continuous Exposures Measured with Error

Autor: Kim, Honghyok

Understanding of sample size and the accuracy and precision of the estimator is very limited when continuous exposure is heteroskedastic, measured with error that may be autocorrelated, or when multiple exposure time points are of interest. Therefore

Externí odkaz: http://arxiv.org/abs/2406.02369

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A Unification of Exchangeability and Continuous Exposure and Confounder Measurement Errors: Probabilistic Exchangeability

Autor: Kim, Honghyok

Exchangeability concerning a continuous exposure or treatment, X, may be assumed to identify average exposure/treatment effects of X, AEE(X). When X is measured with error (Xep), four challenges arise. First, exchangeability regarding Xep does not eq

Externí odkaz: http://arxiv.org/abs/2405.07910

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On adjustment for temperature in heatwave epidemiology: a new method and toward clarification of methods to estimate health effects of heatwaves

Autor: Kim, Honghyok, Bell, Michelle

Publikováno v: American Journal of Epidemiology 2024

Defining the effect of exposure of interest and selecting an appropriate estimation method are prerequisite for causal inference. Understanding the ways in which association between heatwaves (i.e., consecutive days of extreme high temperature) and a

Externí odkaz: http://arxiv.org/abs/2305.02563

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Implications of Mortality Displacement for Effect Modification and Selection Bias

Autor: Kim, Honghyok, Lee, Jong-Tae, Peng, Roger D., Fong, Kelvin C., Bell, Michelle L.

Mortality displacement is the concept that deaths are moved forward in time (e.g., a few days, several months, and years) by exposure from when they would occur without the exposure, which is common in environmental time-series studies. Using concept

Externí odkaz: http://arxiv.org/abs/2203.13982

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Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching

Autor: Kim, Honghyok, Bell, Michelle

Propensity score (PS) matching to estimate causal effects of exposure is biased when unmeasured spatial confounding exists. Some exposures are continuous yet dependent on a binary variable (e.g., level of a contaminant (continuous) within a specified

Externí odkaz: http://arxiv.org/abs/2202.00814

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