Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Cao, Hongyuan"'
Replicability is the cornerstone of scientific research. We study the replicability of data from high-throughput experiments, where tens of thousands of features are examined simultaneously. Existing replicability analysis methods either ignore the d
Externí odkaz:
http://arxiv.org/abs/2404.05808
Autor:
Sun, Zhuowei, Cao, Hongyuan
We study the multiplicative hazards model with intermittently observed longitudinal covariates and time-varying coefficients. For such models, the existing {\it ad hoc} approach, such as the last value carried forward, is biased. We propose a kernel
Externí odkaz:
http://arxiv.org/abs/2310.15877
Identifying replicable signals across different studies provides stronger scientific evidence and more powerful inference. Existing literature on high dimensional applicability analysis either imposes strong modeling assumptions or has low power. We
Externí odkaz:
http://arxiv.org/abs/2310.09701
We study the transformed hazards model with time-dependent covariates observed intermittently for the censored outcome. Existing work assumes the availability of the whole trajectory of the time-dependent covariates, which is unrealistic. We propose
Externí odkaz:
http://arxiv.org/abs/2308.15549
In linear models, omitting a covariate that is orthogonal to covariates in the model does not result in biased coefficient estimation. This in general does not hold for longitudinal data, where additional assumptions are needed to get unbiased coeffi
Externí odkaz:
http://arxiv.org/abs/2305.17715
We consider varying-coefficient models for mixed synchronous and asynchronous longitudinal covariates, where asynchronicity refers to the misalignment of longitudinal measurement times within an individual. We propose three different methods of param
Externí odkaz:
http://arxiv.org/abs/2305.17662
Autor:
Bell, Tracey N., Kusi-Appiaha, Aubrey E., Lyu, Pengfei, Zhu, L., Zhu, F., Van Winkle, David, Cao, Hongyuan, Singh, M., Lenhert, Steven
High throughput screening of small molecules and natural products is costly, requiring significant amounts of time, reagents, and operating space. Although microarrays have proven effective in the miniaturization of screening for certain biochemical
Externí odkaz:
http://arxiv.org/abs/2210.07377
Autor:
Wang, Zixin, Li, Jimin, Wang, Peipei, Liu, Tian, Bushra, Rani, Guo, Jiaqi, Zhu, Wenyuan, Khan, Mohammad Rizwan, Cao, Hongyuan, Xiao, Huining, Song, Junlong
Publikováno v:
In Sustainable Materials and Technologies July 2024 40
Publikováno v:
In Journal of Statistical Planning and Inference July 2024 231
Autor:
Cao, Hongyuan, Wu, Wei Biao
Publikováno v:
Bernoulli, 2021
We propose a change-point detection method for large scale multiple testing problems with data having clustered signals. Unlike the classic change-point setup, the signals can vary in size within a cluster. The clustering structure on the signals ena
Externí odkaz:
http://arxiv.org/abs/2104.14525