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Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7148
Abstract: When two imperfect diagnostic tests are carried out on the same subject, their results may be correlated even after conditioning on the true disease status. While past work has focused on the consequences of ignoring…
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Keywords:
dependence;
diagnostic tests;
imperfect diagnostic;
conditional dependence ... See more keywords
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Published in 2019 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2017.1390466
Abstract: ABSTRACT Graphical models have attracted increasing attention in recent years, especially in settings involving high-dimensional data. In particular, Gaussian graphical models are used to model the conditional dependence structure among multiple Gaussian random variables. As…
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Keywords:
high dimensional;
conditional dependence;
functional graphical;
dependence structure ... See more keywords
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Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.95.052206
Abstract: Identifying causal relations from observational data sets has posed great challenges in data-driven causality inference studies. One of the successful approaches to detect direct coupling in the information theory framework is transfer entropy. However, the…
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Keywords:
measure conditional;
dependence;
recurrence measure;
recurrence ... See more keywords
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Published in 2017 at "Biometrics"
DOI: 10.1111/biom.12583
Abstract: Estimating biomarker-index accuracy when only imperfect reference-test information is available is usually performed under the assumption of conditional independence between the biomarker and imperfect reference-test values. We propose to define a latent normally-distributed tolerance-variable underlying…
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Keywords:
reference test;
conditional dependence;
accuracy;
imperfect reference ... See more keywords