1 citations · 1 across the 7 of their papers we have counts for
8 papers
Selective Inference in Growth Curve Models
Haochen Lei, Qian Zhang, Hongyuan Cao
Growth curve models are widely used in psychological research, and variable selection can help identify baseline characteristics associated with longitudinal heterogeneity. However…
Heritability: A Counterfactual Perspective
Haochen Lei, Jieru Shi, Hongyuan Cao +1
Heritability is a central concept in the long-standing debate about nature versus nurture in biological and social sciences. However, existing notions of heritability are based on…
Change point analysis with irregular signals
Tobias Kley, Yuhan Philip Liu, Hongyuan Cao +1
This paper considers the problem of testing and estimation of change point where signals after the change point can be highly irregular, which departs from the existing literature…
Testing composite null hypotheses with high-dimensional dependent data: a computationally scalable FDR-controlling procedure
Pengfei Lyu, Xianyang Zhang, Hongyuan Cao
Testing composite null hypotheses is fundamental to many scientific applications, including mediation and replicability analyses, and becomes particularly challenging in high-throu…
Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates
Zhuowei Sun, Hongyuan Cao
We study the multiplicative hazards model with intermittently observed longitudinal covariates and time-varying coefficients. For such models, the existing ad hoc approach, such as…
A robust and powerful method for assessing replicability of high dimensional data
Haochen Lei, Yan Li, Hongyuan Cao
Identifying signals that replicate across multiple studies is essential for establishing robust scientific evidence, yet existing methods for high-dimensional replicability analysi…
Kernel meets sieve: transformed hazards models with sparse longitudinal covariates
Dayu Sun, Zhuowei Sun, Xingqiu Zhao +1
We study the transformed hazards model with time-dependent covariates observed intermittently for the censored outcome. Existing work assumes the availability of the whole trajecto…
Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates with varying-coefficient models
Congmin Liu, Zhuowei Sun, Hongyuan Cao
We consider varying-coefficient models for mixed synchronous and asynchronous longitudinal covariates, where asynchronicity refers to the misalignment of longitudinal measurement t…