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Published in 2019 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2018.1482757
Abstract: ABSTRACT In many longitudinal studies, repeated response and predictors are not directly observed, but can be treated as distorted by unknown functions of a common confounding covariate. Moreover, longitudinal data involve an observation process which…
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Keywords:
longitudinal data;
observation times;
response;
distorted longitudinal ... See more keywords
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Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1752385
Abstract: Abstract Recent genetic/genomic studies have shown that genetic markers can have potential effects on the dependence structure of genes. Motivated by such findings, we are interested in the estimation of covariate-adjusted Gaussian graphical model (CGGM).…
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Keywords:
adjusted gaussian;
gaussian graphical;
false discovery;
graphical model ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3159402
Abstract: In this letter, we present a sharp algorithmic analysis for alternating projected gradient descent which is used to solve the covariate adjusted precision matrix estimation problem in high-dimensional settings. By introducing a new analytical tool…
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Keywords:
covariate adjusted;
gradient descent;
alternating projected;
projected gradient ... See more keywords
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Published in 2022 at "Statistical Science"
DOI: 10.1214/21-sts839
Abstract: Accurate diagnosis of disease is of fundamental importance in clinical practice and medical research. Before a medical diagnostic test is routinely used in practice, its ability to distinguish between diseased and nondiseased states must be…
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Keywords:
roc curve;
covariate adjusted;
adjusted roc;