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作者：Pal, Suvra; Aselisewine, Wisdom
作者单位：University of Texas System; University of Texas Arlington
摘要：The promotion time cure rate model (PCM) is an extensively studied model for the analysis of time-to-event data in the presence of a cured sub-group. There are several strategies proposed in the literature to model the latency part of PCM. However, there aren't many strategies proposed to investigate the effects of covariates on the incidence part of PCM. In this regard most existing studies assume the boundary separating the cured and noncured subjects with respect to the covariates to be lin...
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作者：Savitsky, Terrance D.; Gershunskaya, Julie; Crankshaw, Mark
摘要：We propose a novel Bayesian framework for the joint modeling of survey point and variance estimates for count data. The approach incorporates an induced prior distribution on the modeled true variance that sets it equal to the generating variance of the point estimate, a key property more readily achieved for continuous data response type models. Our count data model formulation allows the input of domains at multiple resolutions (e.g., states, regions, nation) and simultaneously benchmarks mo...
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作者：Huang, Melody; Egami, Naoki; Hartman, Erin; Miratrix, Luke
作者单位：University of California System; University of California Berkeley; Columbia University; University of California System; University of California Berkeley; Harvard University
摘要：Generalizing causal estimates in randomized experiments to a broader target population is essential for guiding decisions by policymakers and practitioners in the social and biomedical sciences. While recent papers have developed various weighting estimators for the population average treatment effect (PATE), many of these methods result in large variance because the experimental sample often differs substantially from the target population and estimated sampling weights are extreme. We invest...
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作者：Moon, Chul; Li, Qiwei; Xiao, Guanghua
作者单位：Southern Methodist University; University of Texas System; University of Texas Dallas; University of Texas System; University of Texas Southwestern Medical Center; University of Texas System; University of Texas Southwestern Medical Center
摘要：Tumor shape is a key factor that affects tumor growth and metastasis. This paper proposes a topological feature computed by persistent homology to characterize tumor progression from digital pathology and radiology images and examines its effect on the time-to-event data. The proposed topological features are invariant to scale-preserving transformation and can summarize various tumor shape patterns. The topological features are represented in functional space and used as functional predictors...
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作者：Grabski, Isabella N.; De Vito, Roberta; Trippa, Lorenzo; Parmigiani, Giovanni
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Brown University; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
摘要：Mutations in the BRCA1 and BRCA2 genes are known to be highly associated with breast cancer. Identifying both shared and unique transcript expression patterns in blood samples from these groups can shed insight into if and how the disease mechanisms differ among individuals by mutation status, but this is challenging in the high-dimensional setting. A recent method, mon to all studies (or equivalently, groups) and latent factors specific to individual studies. However, BMSFA does not allow for...
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作者：Anthopolos, Rebecca; Chen, Qixuan; Sedransk, Joseph; Thompson, Mary; Meng, Gang; Galea, Sandro
作者单位：New York University; Columbia University; University System of Maryland; University of Maryland College Park; University of Waterloo; University of Waterloo; Boston University
摘要：Research on growth mixture models (GMMs) for analyzing data from a complex sample survey is sparse. Existing methods use pseudo-likelihood in which survey weights are incorporated into the likelihood function, with variance estimated via linearization or resampling techniques. Despite popularity of the pseudo-likelihood approach, weighted estimation introduces the risk of efficiency loss. In this paper we propose a Bayesian GMM for complex survey data in which sample design features, such as s...
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作者：Castillo-Mateo, Jorge; Asin, Jesus; Cebrian, Ana C.; Gelfand, Alan E.; Abaurrea, Jesus
作者单位：University of Zaragoza; Duke University
摘要：Regression is the most widely used modeling tool in statistics. Quantile regression offers a strategy for enhancing the regression picture beyond customary mean regression. With time-series data, we move to quantile autoregression and, finally, with spatially referenced time series, we move to spacetime quantile regression. Here, we are concerned with the spatiotemporal evolution of daily maximum temperature, particularly with regard to extreme heat. Our motivating data set is 60 years of dail...
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作者：Pellin, Danilo; Biasco, Luca; Scala, Serena; Di Serio, Clelia; Wit, Ernst C.
作者单位：Harvard University; Harvard Medical School; University of London; University College London; Vita-Salute San Raffaele University; IRCCS Ospedale San Raffaele; Fondazione Telethon; San Raffaele Telethon Institute For Gene Therapy (Sr-Tiget); Vita-Salute San Raffaele University; Universita della Svizzera Italiana
摘要：Hematopoietic stem cells (HSC) are the cells that give rise to all other blood cells and, as such, they are crucial in the healthy development of individuals. Wiskott-Aldrich Syndrome (WAS) is a severe disorder affecting the regulation of hematopoietic cells and is caused by mutations in the WASP gene. We consider data from a revolutionary gene therapy clinical trial, where HSC harvested from three WAS patients' bone marrow have been edited and corrected using viral vectors. Upon reinfusion in...
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作者：Zou, Haotian; Zeng, Donglin; Xiao, Luo; Luo, Sheng
作者单位：University of North Carolina; University of North Carolina Chapel Hill; North Carolina State University; Duke University
摘要：Alzheimer's disease (AD) is a complex neurological disorder impairing multiple domains such as cognition and daily functions. To better understand the disease and its progression, many AD research studies collect multiple longitudinal outcomes that are strongly predictive of the onset of AD dementia. We propose a joint model based on a multivariate functional mixed model framework (referred to as MFMM-JM) that simultaneously models the multiple longitudinal outcomes and the time to dementia on...
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作者：Gelsinger, Megan L.; Griffin, Maryclare; Matteson, David; Guinness, Joseph
作者单位：Cornell University; University of Massachusetts System; University of Massachusetts Amherst
摘要：Lightning is a destructive and highly visible product of severe storms, yet there is still much to be learned about the conditions under which lightning is most likely to occur. The GOES-16 and GOES-17 satellites, launched in 2016 and 2018 by NOAA and NASA, collect a wealth of data regarding individual lightning strike occurrence and potentially related atmospheric variables. The acute nature and inherent spatial correlation in lightning data renders standard regression analyses inappropriate....
