-
作者：Chung, Hee Cheol; Gaynanova, Irina; Ni, Yang
作者单位：Texas A&M University System; Texas A&M University College Station
摘要：Microorganisms play critical roles in host health. The advancement of high-throughput sequencing technology provides opportunities for a deeper understanding of microbial interactions. However, due to the technological limitations of 16S ribosomal RNA sequencing, microbiome data are zero -inflated, and a quantitative comparison of microbial abundances cannot be made across subjects. By leveraging a recent microbiome profiling technique that quantifies 16S ribosomal RNA microbial counts, we pro...
-
作者：Li, Yuliang; Ni, Yang; Rubin, Leah H.; Spence, Amanda B.; Xu, Yanxun
作者单位：Johns Hopkins University; Texas A&M University System; Texas A&M University College Station; Johns Hopkins University; Johns Hopkins University; Georgetown University
摘要：Access and adherence to antiretroviral therapy (ART) has transformed the face of HIV infection from a fatal to a chronic disease. However, ART is also known for its side effects. Studies have reported that ART is associated with depressive symptomatology. Large-scale HIV clinical databases with individuals' longitudinal depression records, ART medications, and clinical characteristics offer researchers unprecedented opportunities to study the effects of ART drugs on depression over time. We de...
-
作者：Meyer, Mark J.; Morris, Jeffrey S.; Gazes, Regina Paxton; Coull, Brent A.
作者单位：Georgetown University; University of Pennsylvania; Bucknell University; Bucknell University; Harvard University; Harvard T.H. Chan School of Public Health
摘要：Research in functional regression has made great strides in expanding to non-Gaussian functional outcomes, but exploration of ordinal functional outcomes remains limited. Motivated by a study of computer-use behavior in rhesus macaques (Macaca mulatta), we introduce the ordinal probit functional outcome regression model (OPFOR). OPFOR models can be fit using one of several basis functions including penalized B-splines, wavelets, and O'Sullivan splines-the last of which typically performs best....
-
作者：Lila, Eardi; Aston, John A. D.
作者单位：University of Washington; University of Washington Seattle; University of Cambridge
摘要：We present a statistical framework that jointly models brain shape and functional connectivity which are two complex aspects of the brain that have been classically studied independently. We adopt a Riemannian modeling ap-proach to account for the non-Euclidean geometry of the space of shapes and the space of connectivity that constrains trajectories of covariation to be valid statistical estimates. In order to disentangle genetic sources of variabil-ity from those driven by unique environment...
-
作者：Coulombe, Janie; Moodie, Erica E. M.; Platt, Robert W.; Renoux, Christel
作者单位：McGill University
摘要：In studying the marginal effect of antidepressants on body mass index using electronic health records data, we face several challenges. Patients' characteristics can affect the exposure (confounding) as well as the timing of routine visits (measurement process), and those characteristics may be altered following a visit which can create dependencies between the monitoring and body mass index when viewed as a stochastic or random processes in time. This may result in a form of selection bias th...
-
作者：Koslovsky, Matthew D.; Hoffman, Kristi L.; Daniel, Carrie R.; Vannucci, Marina
作者单位：Rice University; Baylor College of Medicine; University of Texas System; UTMD Anderson Cancer Center
-
作者：Liang, Jane W.; Sen, Saunak
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; University of Tennessee System; University of Tennessee Health Science Center
摘要：Recent technological advancements have led to the rapid generation of high-throughput biological data which can be used to address novel scientific questions in broad areas of research. These data can be thought of as a large matrix with covariates annotating both its rows and columns. Matrix linear models provide a convenient way for modeling such data. In many situations, sparse estimation of these models is desired. We present fast, general methods for fitting sparse matrix linear models to...
-
作者：Gu, Yu; Preisser, John S.; Zeng, Donglin; Shrestha, Poojan; Shah, Molina; Simancas-Pallares, Miguel A.; Ginnis, Jeannie; Divaris, Kimon
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
摘要：Community water fluoridation is an important component of oral health promotion, as fluoride exposure is a well-documented dental caries-preventive agent. Direct measurements of domestic water fluoride content provide valuable information regarding individuals' fluoride exposure and thus caries risk; however, they are logistically challenging to carry out at a large scale in oral health research. This article describes the development and evaluation of a novel method for the imputation of miss...
-
作者：Spieker, Andrew J.; Greevy, Robert A.; Nelson, Lyndsay A.; Mayberry, Lindsay S.
作者单位：Vanderbilt University; Vanderbilt University
摘要：Estimation of local average treatment effects in randomized trials typically relies upon the exclusion restriction assumption in cases where we are unwilling to rule out the possibility of unmeasured confounding. Under this assumption, treatment effects are mediated through the post-randomization variable being conditioned upon and directly attributable to neither the randomization itself nor its latent descendants. Recently, there has been interest in mobile health interventions to provide he...
-
作者：Crook, By Oliver m.; Lilley, Kathryn s.; Gatto, Laurent; Kirk, Paul D. W.
作者单位：MRC Biostatistics Unit; University of Cambridge; University of Cambridge
摘要：Understanding subcellular protein localisation is an essential component in the analysis of context specific protein function. Recent advances in quantitative mass-spectrometry (MS) have led to high-resolution mapping of thousands of proteins to subcellular locations within the cell. Novel modelling considerations to capture the complex nature of these data are thus necessary. We approach analysis of spatial proteomics data in a nonparametric Bayesian framework, using K-component mixtures of G...
