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pro vyhledávání: '"Sun, Baoluo"'
Suppose we are interested in the mean of an outcome that is subject to nonignorable nonresponse. This paper develops new semiparametric estimation methods with instrumental variables which affect nonresponse, but not the outcome. The proposed estimat
Externí odkaz:
http://arxiv.org/abs/2311.08691
In response to the unique challenge created by high-dimensional mediators in mediation analysis, this paper presents a novel procedure for testing the nullity of the mediation effect in the presence of high-dimensional mediators. The procedure incorp
Externí odkaz:
http://arxiv.org/abs/2310.05539
It is often of interest in the health and social sciences to investigate the joint mediation effects of multiple post-exposure mediating variables. Identification of such joint mediation effects generally require no unmeasured confounding of the outc
Externí odkaz:
http://arxiv.org/abs/2205.15206
Nonresponse arises frequently in surveys and follow-ups are routinely made to increase the response rate. In order to monitor the follow-up process, callback data have been used in social sciences and survey studies for decades. In modern surveys, th
Externí odkaz:
http://arxiv.org/abs/2112.02822
The instrumental variable method is widely used in the health and social sciences for identification and estimation of causal effects in the presence of potentially unmeasured confounding. In order to improve efficiency, multiple instruments are rout
Externí odkaz:
http://arxiv.org/abs/2110.10615
Mendelian randomization (MR) has become a popular approach to study causal effects by using genetic variants as instrumental variables. We propose a new MR method, GENIUS-MAWII, which simultaneously addresses the two salient phenomena that adversely
Externí odkaz:
http://arxiv.org/abs/2107.06238
Autor:
Sun, BaoLuo, Ye, Ting
Although the exposure can be randomly assigned in studies of mediation effects, any form of direct intervention on the mediator is often infeasible. As a result, unmeasured mediator-outcome confounding can seldom be ruled out. We propose semiparametr
Externí odkaz:
http://arxiv.org/abs/2012.06762
Standard Mendelian randomization analysis can produce biased results if the genetic variant defining the instrumental variable (IV) is confounded and/or has a horizontal pleiotropic effect on the outcome of interest not mediated by the treatment. We
Externí odkaz:
http://arxiv.org/abs/2009.14484
Autor:
Sun, Baoluo, Tan, Zhiqiang
Consider the problem of estimating the local average treatment effect with an instrument variable, where the instrument unconfoundedness holds after adjusting for a set of measured covariates. Several unknown functions of the covariates need to be es
Externí odkaz:
http://arxiv.org/abs/2009.09286
Mendelian randomization (MR) is a powerful approach to examine the causal relationships between health risk factors and outcomes from observational studies. Due to the proliferation of genome-wide association studies (GWASs) and abundant fully access
Externí odkaz:
http://arxiv.org/abs/2009.00399