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pro vyhledávání: '"Wang, Molin"'
With advancement of medicine, alternative exposures or interventions are emerging with respect to a common outcome, and there are needs to formally test the difference in the associations of multiple exposures. We propose a duplication method-based m
Externí odkaz:
http://arxiv.org/abs/2403.14044
Autor:
Lee, Jooyoung, He, Zhibing, Roscoe, Charlotte, James, Peter, Xu, Li, Spiegelman, Donna, Zucker, David, Wang, Molin
In environmental health research, it is of interest to understand the effect of the neighborhood environment on health. Researchers have shown a protective association between green space around a person's residential address and depression outcomes.
Externí odkaz:
http://arxiv.org/abs/2401.00461
In this paper, we identify the criteria for the selection of the minimal and most efficient covariate adjustment sets for the regression calibration method developed by Carroll, Rupert and Stefanski (CRS, 1992), used to correct bias due to continuous
Externí odkaz:
http://arxiv.org/abs/2312.07829
Due to the nature of pure-tone audiometry test, hearing loss data often has a complicated correlation structure. Generalized estimating equation (GEE) is commonly used to investigate the association between exposures and hearing loss, because it is r
Externí odkaz:
http://arxiv.org/abs/2306.16104
Autor:
Wu, Yujie, Wang, Molin
In epidemiological studies, participants' disease status is often collected through self-reported outcomes in place of formal medical tests due to budget constraints. However, self-reported outcomes are often subject to measurement errors, and may le
Externí odkaz:
http://arxiv.org/abs/2306.10568
Purpose: In this paper we consider the estimation of intracluster correlation for ordinal data. We focus on pure-tone audiometry hearing threshold data, where thresholds are measured in 5 decibel increments. We estimate the intracluster correlation f
Externí odkaz:
http://arxiv.org/abs/2211.01170
Epidemiologic and medical studies often rely on evaluators to obtain measurements of exposures or outcomes for study participants, and valid estimates of associations depends on the quality of data. Even though statistical methods have been proposed
Externí odkaz:
http://arxiv.org/abs/2211.01115
Regression calibration as developed by Rosner, Spiegelman and Willet is used to correct the bias in effect estimates due to measurement error in continuous exposures. The method involves two models: a measurement error model (MEM) relating the mismea
Externí odkaz:
http://arxiv.org/abs/2212.00795
Autor:
Xu, Li, Wang, Molin
In epidemiological studies, very often, evaluators obtain measurements of disease outcomes for study participants. In this paper, we propose a two-stage procedure for detecting outlier evaluators. In the first stage, a regression model is fitted to o
Externí odkaz:
http://arxiv.org/abs/2209.13526
Studies have shown that the effect an exposure may have on a disease can vary for different subtypes of the same disease. However, existing approaches to estimate and compare these effects largely overlook causality. In this paper, we study the effec
Externí odkaz:
http://arxiv.org/abs/2206.00209