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Biometrics
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#1David Cheng (VA Boston Healthcare System)H-Index: 1
#2Ashwin N. Ananthakrishnan (Harvard University)H-Index: 52
Last. Tianxi Cai (Harvard University)H-Index: 48
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#1Weiji Su (UC: University of Cincinnati)H-Index: 1
#2Xia Wang (UC: University of Cincinnati)H-Index: 8
Last. Rhonda Szczesniak (UC: University of Cincinnati)H-Index: 2
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#1Roland Z. BrownH-Index: 5
#2Yingling FanH-Index: 18
Last. Julian WolfsonH-Index: 14
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#1David Kline (OSU: Ohio State University)H-Index: 4
#2Staci Hepler (Wake Forest University)
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#1Trung Dung Tran (Katholieke Universiteit Leuven)H-Index: 1
#2Emmanuel Lesaffre (Katholieke Universiteit Leuven)H-Index: 57
Last. Joke Duyck (Katholieke Universiteit Leuven)H-Index: 33
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We propose a Bayesian latent Ornstein-Uhlenbeck model to analyze unbalanced longitudinal data of binary and ordinal variables, which are manifestations of fewer continuous latent variables. We focus on the evolution of such latent variables when they continuously change over time. Existing approaches are limited to data collected at regular time intervals. Our proposal makes use of an Ornstein-Uhlenbeck (OU) process for the latent variables to overcome this limitation. We show that assuming real...
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#1Lorenzo Cappello (Stanford University)H-Index: 1
#2Swarnadip Ghosh (Stanford University)
Last. Julia A. Palacios (Stanford University)H-Index: 8
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#1James R. Faulkner (NMFS: National Marine Fisheries Service)H-Index: 10
#2Andrew F. Magee (UW: University of Washington)H-Index: 1
Last. Vladimir N. Minin (UCI: University of California, Irvine)H-Index: 19
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#1Peng Wu (Columbia University)H-Index: 4
#2Donglin Zeng (UNC: University of North Carolina at Chapel Hill)H-Index: 34
Last. Yuanjia Wang (Columbia University)H-Index: 22
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Individualized treatment rules (ITRs) tailor medical treatments according to patient-specific characteristics in order to optimize patient outcomes. Data from randomized controlled trials (RCTs) are used to infer valid ITRs using statistical and machine learning methods. However, RCTs are usually conducted under specific inclusion/exclusion criteria, thus limiting their generalizability to a broader patient population in real-world practice settings. Because electronic health records (EHRs) docu...
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#1Kyoungjae Lee (IIT: Inha University)H-Index: 2
#2Xuan Cao (UC: University of Cincinnati)H-Index: 1
We consider Bayesian logistic regression models with group-structured covariates. In high-dimensional settings, it is often assumed that only a small portion of groups are significant, thus consistent group selection is of significant importance. While consistent frequentist group selection methods have been proposed, theoretical properties of Bayesian group selection methods for logistic regression models have not been investigated yet. In this paper, we consider a hierarchical group spike and ...
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#1Ting Huei Chen (Laval University)H-Index: 6
#2Hanaa Boughal (Laval University)
As the global burden of mental illness is estimated to become a severe issue in the near future, it demands the development of more effective treatments. Most psychiatric diseases are moderately to highly heritable and believed to involve many genes. Development of new treatment options demands more knowledge on the molecular basis of psychiatric diseases. Towards this end, we propose to develop new statistical methods with improved sensitivity and accuracy to identify disease-related genes spec...
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