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• PALM: PATIENT-CENTERED TREATMENT RANKING VIA LARGE-SCALE MULTIVARIATE NETWORK META-ANALYSIS AI翻译
  作者：Duan, Rui; Tong, Jiayi; Lin, Lifeng; Levine, Lisa; Sammel, Mary; Stoddard, Joel; Li, Tianjing; Schmid, Christopher H.; Chu, Haitao; Chen, Yong
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health; University of Pennsylvania; University of Arizona; University of Pennsylvania; University of Colorado System; University of Colorado Denver; Brown University; Pfizer; Pfizer USA
  摘要：The growing number of available treatment options has led to urgent needs for reliable answers when choosing the best course of treatment for a patient. As it is often infeasible to compare a large number of treatments in a single randomized controlled trial, multivariate network meta-analyses (NMAs) are used to synthesize evidence from trials of a subset of the treatments, where both efficacy and safety related outcomes are considered simultaneously. However, these large-scale multiple-outcom...
• FITTING STOCHASTIC EPIDEMIC MODELS TO GENE GENEALOGIES USING LINEAR NOISE APPROXIMATION AI翻译
  作者：Tang, Mingwei; Dudas, Gytis; Bedford, Trevor; Minin, Vladimir N.
  作者单位：University of Washington; University of Washington Seattle; University of Gothenburg; Fred Hutchinson Cancer Center
  摘要：Phylodynamics is a set of population genetics tools that aim at recon-structing demographic history of a population based on molecular sequences of individuals sampled from the population of interest. One important task in phylodynamics is to estimate changes in (effective) population size. When applied to infectious disease sequences, such estimation of population size trajectories can provide information about changes in the number of infec-tions. To model changes in the number of infected i...
• ANALYZING ANIMAL ESCAPE DATA WITH CIRCULAR NONPARAMETRIC MULTIMODAL REGRESSION AI翻译
  作者：Alonso-pena, Maria; Crujeiras, Rosa M.
  作者单位：Universidade de Santiago de Compostela
  摘要：Analyzing the escape direction of animals subject to covariates is a prob-lem that requires statistical techniques beyond classical regression methods. Apart from the periodicity of the angle of direction, which demands the use of circular statistics, animal escape data usually call for the exploration of the preferred orientations rather than the expected orientation. In this paper we propose the use of a nonparametric method to estimate the conditional local modes of the escape directions of...
• COMPLEX DISCONTINUITY DESIGNS USING COVARIATES: IMPACT OF SCHOOL GRADE RETENTION ON LATER LIFE OUTCOMES IN CHILE AI翻译
  作者：Diaz, Juan D.; Zubizarreta, Jose R.
  作者单位：Universidad de Chile; Harvard University; Harvard University; Harvard University; Harvard University
  摘要：Regression discontinuity designs are extensively used for causal inference in observational studies. However, they are usually confined to settings with simple treatment rules and determined by a single running variable with a single cutoff. Motivated by the problem of estimating the impact of grade retention on educational and juvenile crime outcomes in Chile, we propose a framework and methods for complex discontinuity designs that encompass multiple treatment rules. In this framework the ob...
• TOPOLOGICAL LEARNING FOR BRAIN NETWORKS AI翻译
  作者：Songdechakraiwut, Tanannun; Chung, Moo K.
  作者单位：University of Wisconsin System; University of Wisconsin Madison
  摘要：This paper proposes a novel topological learning framework that integrates networks of different sizes and topology through persistent homology. Such challenging task is made possible through the introduction of a computationally efficient topological loss. The use of the proposed loss bypasses the intrinsic computational bottleneck associated with matching networks. We validate the method in extensive statistical simulations to assess its effectiveness when discriminating networks with differ...
• MODEL SELECTION UNCERTAINTY AND STABILITY IN BETA REGRESSION MODELS: A STUDY OF BOOTSTRAP-BASED MODEL AVERAGING WITH AN EMPIRICAL APPLICATION TO CLICKSTREAM DATA AI翻译
  作者：Allenbrand, Corban; Sherwood, Ben
  作者单位：University of Kansas
  摘要：Statistical model development is a central feature of many scientific in-vestigations with a vast methodological landscape. However, uncertainty in the model development process has received less attention and is frequently resolved nonrigorously through beliefs about generalizability, practical use-fulness, and computational ease. This is particularly problematic in settings of abundant data, such as clickstream data, as model selection routinely ad-mits multiple models and imposes a source o...
• ESTIMATING THE AVERAGE TREATMENT EFFECT IN RANDOMIZED CLINICAL TRIALS WITH ALL-OR-NONE COMPLIANCE AI翻译
  作者：Zhang, Zhiwei; Hu, Zonghui; Follmann, Dean; Nie, Lei
  作者单位：National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH Division of Cancer Treatment & Diagnosis; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID); US Food & Drug Administration (FDA)
  摘要：Noncompliance is a common intercurrent event in randomized clini-cal trials that raises important questions about analytical objectives and ap-proaches. Motivated by the Multiple Risk Factor Intervention Trial (MRFIT), we consider how to estimate the average treatment effect (ATE) in random-ized trials with all-or-none compliance. Confounding is a major challenge in estimating the ATE, and conventional methods for confounding adjustment typically require the assumption of no unmeasured confoun...
• TIME-DISCRETIZATION APPROXIMATION ENRICHES CONTINUOUS-TIME DISCRETE-SPACE MODELS FOR ANIMAL MOVEMENT AI翻译
  作者：Hewitt, Joshua; Gelfand, Alan E.; Schick, Robert S.
  作者单位：Duke University; Duke University
  摘要：Continuous time discrete state models are a valuable tool for explaining animal movement. However, data collection to fit such models over a specified window of time can be misaligned with the actual realization of the movement process. This necessitates approximate model fitting, at present, through approximate imputation distributions (AIDs). Here, we propose a direct time-discretization approximation to the likelihood. The approach employs familiar ideas from hidden Markov modeling. Computa...
• MODELING CELL POPULATIONS MEASURED BY FLOW CYTOMETRY WITH COVARIATES USING SPARSE MIXTURE OF REGRESSIONS AI翻译
  作者：Hyun, Sangwon; Cape, Mattias Rolf; Ribalet, Francois; Bien, Jacob
  作者单位：University of Southern California; University of Washington; University of Washington Seattle
  摘要：The ocean is filled with microscopic microalgae, called phytoplankton, which together are responsible for as much photosynthesis as all plants on land combined. Our ability to predict their response to the warming ocean relies on understanding how the dynamics of phytoplankton populations is influenced by changes in environmental conditions. One powerful technique to study the dynamics of phytoplankton is flow cytometry which measures the optical properties of thousands of individual cells per...
• DESIGNING EXPERIMENTS FOR ESTIMATING AN APPROPRIATE OUTLET SIZE FOR A SILO TYPE PROBLEM AI翻译
  作者：Lopez-Fidalgo, Jesus; May, Aterina; Moler, Jose Antonio
  作者单位：University of Navarra; Universidad Publica de Navarra
  摘要：Jam formation is a problem that may occur when granular material is discharged by gravity from a silo. The estimation of the minimum outlet size, which guarantees that the time to the next jamming event is long enough, can be crucial in the industry. The time is modeled by an exponential distribution with two unknown parameters, and this goal translates to precise estimation of a nonlinear transformation of the parameters. We obtain c-optimum experimental designs with that purpose, applying th...