Improvement criteria—clinical and statistical significance: Comment on the article by Pincus and Stein

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Comment on Article by Polson and Scott

We congratulate the authors for a very interesting article. The key contribution of this paper, as we see it and as suggested in the title, is the introduction of latent parameters to carry out Bayesian analysis with support vector machines. The basic identities (4) and (6) are particularly useful in this regard, which enable one to overcome much of the complexities of a non smooth loss resulti...

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Comment on Article by Monni and Tadesse

The subsection entitled Performance in the presence of high collinearity on page 15 starts with the sentence “It is reasonable to assume that the presence of highly correlated covariates may complicate the identification of relevant predictors.” Two new covariates, which are linear combinations of existing covariates, are then added to simulated data which had N = 50 samples and p = 200 covaria...

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Comment on Article by Gates

I congratulate Jerry Gates on a lucid and important discussion of the role of privacy and confidentiality in sharing government data. He makes a strong case that increased and easier data sharing would improve the collection, estimation, and dissemination of federal data—which in turn would lead to better research and public policy—and that confidentiality concerns raise barriers to realizing t...

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Comment on Article by Scutari

Hao Wang ̊ Scutari’s paper studies properties of the distribution of graphs ppGq. This is an interesting angle because it differs from many works that focus on distributions over parameter spaces for a given graph ppΘ | Gq. The paper’s investigation of ppGq centers around its implied covariance matrix Σ “ CovpGq. The major theoretical results, as I see it, concern eigenvalues of Σ as well as var...

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ژورنال

عنوان ژورنال: Arthritis & Rheumatism

سال: 2000

ISSN: 0004-3591,1529-0131

DOI: 10.1002/1529-0131(200007)43:7<1657::aid-anr35>3.0.co;2-a