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作者：Malinsky, Daniel; Shpitser, Ilya; Tchetgen, Eric J. Tchetgen
作者单位：Columbia University; Johns Hopkins University; University of Pennsylvania
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作者：Guo, Wensheng; You, Mengying; Yi, Jialin; Pontari, Michel A.; Landis, J. Richard
作者单位：University of Pennsylvania; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：By clustering patients with the urologic chronic pelvic pain syndromes (UCPPS) into homogeneous subgroups and associating these subgroups with baseline covariates and other clinical outcomes, we provide opportunities to investigate different potential elements of pathogenesis, which may also guide us in selection of appropriate therapeutic targets. Motivated by the longitudinal urologic symptom data with extensive subject heterogeneity and differential variability of trajectories, we propose a...
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作者：Liu, Jianyu; Wang, Haodong; Sun, Wei; Liu, Yufeng
作者单位：University of North Carolina; University of North Carolina Chapel Hill; Fred Hutchinson Cancer Center; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill
摘要：Hundreds of autism risk genes have been reported recently, mainly based on genetic studies where these risk genes have more de novo mutations in autism subjects than healthy controls. However, as a complex disease, autism is likely associated with more risk genes and many of them may not be identifiable through de novo mutations. We hypothesize that more autism risk genes can be identified through their connections with known autism risk genes in personalized gene-gene interaction graphs. We e...
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作者：Azriel, David; Brown, Lawrence D.; Sklar, Michael; Berk, Richard; Buja, Andreas; Zhao, Linda
作者单位：Technion Israel Institute of Technology; University of Pennsylvania; Stanford University
摘要：We study a regression problem where for some part of the data we observe both the label variable (Y) and the predictors (X), while for other part of the data only the predictors are given. Such a problem arises, for example, when observations of the label variable are costly and may require a skilled human agent. When the conditional expectation E[Y vertical bar X] is not exactly linear, one can consider the best linear approximation to the conditional expectation, which can be estimated consi...
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作者：Horton, Nicholas J.
作者单位：Amherst College
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作者：Bao, Le; Li, Changcheng; Li, Runze; Yang, Songshan
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Dalian University of Technology; Renmin University of China
摘要：The Population-based HIV Impact Assessment (PHIA) is an ongoing project that conducts nationally representative HIV-focused surveys for measuring national and regional progress toward UNAIDS' 90-90-90 targets, the primary strategy to end the HIV epidemic. We believe the PHIA survey offers a unique opportunity to better understand the key factors that drive the HIV epidemics in the most affected countries in sub-Saharan Africa. In this article, we propose a novel causal structural learning algo...
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作者：Bi, Xuan; Feng, Long; Li, Cai; Zhang, Heping
作者单位：University of Minnesota System; University of Minnesota Twin Cities; City University of Hong Kong; St Jude Children's Research Hospital; Yale University
摘要：The polycystic ovary syndrome (PCOS) is a most common cause of infertility among women of reproductive age. Unfortunately, the etiology of PCOS is poorly understood. Large-scale clinical trials for pregnancy in polycystic ovary syndrome (PPCOS) were conducted to evaluate the effectiveness of treatments. Ovulation, pregnancy, and live birth are three sequentially nested binary outcomes, typically analyzed separately. However, the separate models may lose power in detecting the treatment effects...
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作者：Jula Vanegas, Laura; Behr, Merle; Munk, Axel
作者单位：University of Gottingen; University of California System; University of California Berkeley; Max Planck Society
摘要：We introduce a new methodology for analyzing serial data by quantile regression assuming that the underlying quantile function consists of constant segments. The procedure does not rely on any distributional assumption besides serial independence. It is based on a multiscale statistic, which allows to control the (finite sample) probability for selecting the correct number of segments S at a given error level, which serves as a tuning parameter. For a proper choice of this parameter, this prob...
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作者：Ren, Haojie; Zou, Changliang; Chen, Nan; Li, Runze
作者单位：Shanghai Jiao Tong University; Nankai University; Nankai University; National University of Singapore; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
摘要：Monitoring large-scale datastreams with limited resources has become increasingly important for real-time detection of abnormal activities in many applications. Despite the availability of large datasets, the challenges associated with designing an efficient change-detection when clustering or spatial pattern exists are not yet well addressed. In this article, a design-adaptive testing procedure is developed when only a limited number of streaming observations can be accessed at each time. We ...
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作者：Du, Lilun; Hu, Inchi
作者单位：Hong Kong University of Science & Technology
摘要：In a thought-provoking paper, Efron investigated the merit and limitation of an empirical Bayes method to correct selection bias based on Tweedie's formula first reported in the study by Robbins. The exceptional virtue of Tweedie's formula for the normal distribution lies in its representation of selection bias as a simple function of the derivative of log marginal likelihood. Since the marginal likelihood and its derivative can be estimated from the data directly without invoking prior inform...
