Debiased inference for heterogeneous subpopulations in a high-dimensional logistic regression model
Hyunjin Kim,
Eun Ryung Lee,
Seyoung Park
Abstract:Due to the prevalence of complex data, data heterogeneity is often observed in contemporary scientific studies and various applications. Motivated by studies on cancer cell lines, we consider the analysis of heterogeneous subpopulations with binary responses and high-dimensional covariates. In many practical scenarios, it is common to use a single regression model for the entire data set. To do this effectively, it is critical to quantify the heterogeneity of the effect of covariates across subpopulations thro… Show more
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