Marginal false discovery rates for penalized regression models
نویسندگان
چکیده
منابع مشابه
Marginal longitudinal semiparametric regression via penalized splines.
We study the marginal longitudinal nonparametric regression problem and some of its semiparametric extensions. We point out that, while several elaborate proposals for efficient estimation have been proposed, a relative simple and straightforward one, based on penalized splines, has not. After describing our approach, we then explain how Gibbs sampling and the BUGS software can be used to achie...
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Jian Huang1,5,∗, Jin Liu, Shuangge Ma, Cun-Hui Zhang and Yong Zhou Department of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa, U.S.A. Center of Quantitative Medicine, Duke-NUS Medical School,Singapore Department of Biostatistics, Yale University, New Haven, Connecticut, U.S.A. Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey, U.S.A....
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The problem of multiple testing for the presence of signal in spatial data can involve a large number of locations. Traditionally, each location is tested separately for signal presence but then the findings are reported in terms of clusters of nearby locations. This is an indication that the units of interests for testing are clusters rather than individual locations. The investigator may know...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2018
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxy004