The Annals of Applied Statistics

最新文章

• GRAPH-AWARE MODELING OF BRAIN CONNECTIVITY NETWORKS AI翻译
  作者：Kim, Yura; Kessler, Daniel; Levina, Elizaveta
  作者单位：University of Michigan System; University of Michigan
  摘要：Functional connections in the brain are frequently represented by weighted networks, with nodes representing locations in the brain and edges representing the strength of connectivity between these locations. One challenge in analyzing such data is that inference at the individual edge level is not particularly biologically meaningful; interpretation is more useful at the level of so-called functional systems or groups of nodes and connections between them; this is often called graph-aware inf...
• IMPUTATION SCORES AI翻译
  作者：Naf, Jeffrey; Spohn, Meta-lina; Michel, Loris; Meinshausen, Nicolai
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：Given the prevalence of missing data in modern statistical research, a broad range of methods is available for any given imputation task. How does one choose the best imputation method in a given application? The standard approach is to select some observations, set their status to missing, and compare prediction accuracy of the methods under consideration of these observations. Besides having to somewhat artificially mask observations, a shortcoming of this approach is that imputations based ...
• MODEL SELECTION FOR MATERNAL HYPERTENSIVE DISORDERS WITH SYMMETRIC HIERARCHICAL DIRICHLET PROCESSES AI翻译
  作者：Ranzolini, Beatricef; Ljoi, Antoniol; Ruenster, Igorp
  作者单位：Agency for Science Technology & Research (A*STAR); A*STAR - Singapore Institute for Clinical Sciences (SICS); Bocconi University
  摘要：Hypertensive disorders of pregnancy occur in about 10% of pregnant women around the world. Though there is evidence that hypertension im-pacts maternal cardiac functions, the relation between hypertension and car-diac dysfunctions is only partially understood. The study of this relationship can be framed as a joint inferential problem on multiple populations, each corresponding to a different hypertensive disorder diagnosis, that combines multivariate information provided by a collection of ca...
• COMPRESSED SPECTRAL SCREENING FOR LARGE-SCALE DIFFERENTIAL CORRELATION ANALYSIS WITH APPLICATION IN SELECTING GLIOBLASTOMA GENE MODULES AI翻译
  作者：Li, Tianxi; Tang, Xiwei; Chatrath, Ajay
  作者单位：University of Virginia; Washington University (WUSTL); Saint Louis University
  摘要：Differential coexpression analysis has been widely applied by scientists in understanding the biological mechanisms of diseases. However, the unknown differential patterns are often complicated; thus, models based on simplified parametric assumptions can be ineffective in identifying the differences. Meanwhile, the gene expression data involved in such analysis are in extremely high dimensions by nature, whose correlation matrices may not even be computable. Such a large scale seriously limits...
• HOSPITAL QUALITY RISK STANDARDIZATION VIA APPROXIMATE BALANCING WEIGHTS AI翻译
  作者：Keele, Luke J.; Ben-Michael, Eli; Feller, Avi; Kelz, Rachel; Miratrix, Luke
  作者单位：University of Pennsylvania; Harvard University; Harvard University; University of California System; University of California Berkeley; Harvard University
  摘要：Comparing outcomes across hospitals, often to identify underperform-ing hospitals, is a critical task in health services research. However, naive comparisons of average outcomes, such as surgery complication rates, can be misleading because hospital case mixes differ-a hospital's overall com-plication rate may be lower simply because the hospital serves a healthier population overall. In this paper we develop a method of direct standardiza-tion where we reweight each hospital patient populatio...
• LEVERAGING HARDY-WEINBERG DISEQUILIBRIUM FOR ASSOCIATION TESTING IN CASE-CONTROL STUDIES AI翻译
  作者：Zhang, Lin; Strug, Lisa J.; Sun, Lei
  作者单位：University of Toronto; University of Toronto; University of Toronto
  摘要：Modern genome-wide association studies (GWAS) remove single nu-cleotide polymorphisms (SNPs) that are in Hardy-Weinberg disequilibrium (HWD), despite limited rigor for this practice. In a case-control GWAS, al-though HWD in the control sample is an evidence for genotyping error, a truly associated SNP may be in HWD in the case and/or control populations. We, therefore, develop a new case-control association test that: (i) leverages HWD attributed to true association to increase power, (ii) is ...
• ANALYSIS OF PREFERENCES IN SOCIAL NETWORKS AI翻译
  作者：Gu, By Jiaqi; Yu, Philip L. H.
  作者单位：University of Hong Kong; Education University of Hong Kong (EdUHK)
  摘要：Health) in the United States during the 1994-95 school year, sampled high school students were asked to rank 17 romantic relationship activities in ideal chronological order and to nominate up to five male and five female best friends within the school. It is natural to see that the students' rank-order progression of social, romantic and sexual relationships may be influenced strongly by their peers or friends. So far, traditional ranking models do not account for such social network dependen...
• AN EXTENSION OF ESTIMATING EQUATIONS TO MODEL LONGITUDINAL MEDICAL COST TRAJECTORY WITH MEDICARE CLAIMS DATA LINKED TO SEER CANCER REGISTRY AI翻译
  作者：Wang, Shikun; Ning, Jing; Xu, Ying; Shih, Ya-Chen Tina; Shen, Yu; Li, Liang
  作者单位：Columbia University; University of Texas System; UTMD Anderson Cancer Center; University of Texas System; UTMD Anderson Cancer Center
  摘要：Insurance claims' data is an increasingly important health policy research resource, given its longitudinal assessment of cancer care clinical outcomes. Population-level information on medical cost trajectory from disease diagno-sis to terminal events, such as death, specifically interests policy makers. Es-timating the mean cost trajectory has statistical challenges. The shape of the trajectory is usually highly nonlinear with varying durations, depending on the diagnosis-to-death population ...
• A PENALIZED COMPLEXITY PRIOR FOR DEEP BAYESIAN TRANSFER LEARNING WITH APPLICATION TO MATERIALS INFORMATICS AI翻译
  作者：Abba, Mohamed A.; Williams, Jonathan P.; Reich, Brian J.
  作者单位：North Carolina State University
  摘要：A key task in the emerging field of materials informatics is to use ma-chine learning to predict a material's properties and functions. A fast and accurate predictive model allows researchers to more efficiently identify or construct a material with desirable properties. As in many fields, deep learn-ing is one of the state-of-the art approaches, but fully training a deep learn-ing model is not always feasible in materials informatics due to limitations on data availability, computational reso...
• A RIEMANN MANIFOLD MODEL FRAMEWORK FOR LONGITUDINAL CHANGES IN PHYSICAL ACTIVITY PATTERNS AI翻译
  作者：Zou, Jingjing; Lin, Tuo; Di, Chongzhi; Bellettiere, John; Jankowska, Marta m.; Hartman, Sheri j.; Sears, Dorothy d.; Lacroix, Andrea z.; Rock, Cheryl l.; Natarajan, Loki
  作者单位：University of California System; University of California San Diego; Fred Hutchinson Cancer Center; City of Hope; Beckman Research Institute of City of Hope; Arizona State University; Arizona State University-Tempe; University of California System; University of California San Diego
  摘要：Physical activity (PA) is significantly associated with many health outcomes. The wide usage of wearable accelerometer-based activity trackers in recent years has provided a unique opportunity for in-depth research on PA and its relations with health outcomes and interventions. Past analysis of activity tracker data relies heavily on aggregating minute-level PA records into day-level summary statistics in which important information of PA temporal/diurnal patterns is lost. In this paper we pro...