Fixed Effects Testing in High-Dimensional Linear Mixed Models
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DOI: 10.1080/01621459.2019.1660172
Abstract: Abstract Many scientific and engineering challenges—ranging from pharmacokinetic drug dosage allocation and personalized medicine to marketing mix (4Ps) recommendations—require an understanding of the unobserved heterogeneity to develop the best decision making-processes. In this article, we… read more here.
Keywords: testing high; effects testing; model; mixed models ... See more keywords
Considerations for routinely testing for high Lp(a)
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DOI: 10.1097/mol.0000000000000828
Abstract: Purpose of review Lipoprotein(a) (Lp[a]) is a likely causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and aortic valve disease, confirmed by Mendelian randomization. With reliable assays, it has been established that Lp(a) is linearly… read more here.
Keywords: testing high; routinely testing; risk; considerations routinely ... See more keywords
Considerations for routinely testing for high lipoprotein(a).
Sign Up to like & getrecommendations! Published in 2022 at "Current opinion in lipidology"
DOI: 10.1097/mol.0000000000000838
Abstract: PURPOSE OF REVIEW Lipoprotein (a) [Lp(a)] is a likely causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and aortic valve disease, confirmed by Mendelian randomization. With reliable assays, it has been established that Lp(a) is… read more here.
Keywords: testing high; high lipoprotein; considerations routinely; lipoprotein ... See more keywords
Simulation-based hypothesis testing of high dimensional means under covariance heterogeneity.
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DOI: 10.1111/biom.12695
Abstract: In this article, we study the problem of testing the mean vectors of high dimensional data in both one-sample and two-sample cases. The proposed testing procedures employ maximum-type statistics and the parametric bootstrap techniques to… read more here.
Keywords: based hypothesis; high dimensional; testing high; simulation based ... See more keywords
Community Testing in High-priority And Marginalized Populations (CHAMP)
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DOI: 10.18043/ncm.82.4.282
Abstract: In an effort to facilitate an equitable COVID-19 testing strategy early in the pandemic, North Carolina piloted a high-throughput testing model called Community Testing for High-priority and Marginalized Populations (CHAMP). Learnings from this initiative spurred… read more here.
Keywords: high priority; populations champ; testing high; community testing ... See more keywords
Applications of Peter Hall's martingale limit theory to estimating and testing high dimensional covariance matrices
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DOI: 10.5705/ss.202017.0060
Abstract: Martingale limit theory is increasingly important in modern probability theory and mathematical statistics. In this article, we give a selected overview of Peter Hall’s contributions to both the theoretical foundations and the wide applicability of… read more here.
Keywords: testing high; theory; martingale limit; limit ... See more keywords