-
作者：Hector, Emily C.; Song, Peter X-K
作者单位：North Carolina State University; University of Michigan System; University of Michigan
摘要：We propose a distributed quadratic inference function framework to jointly estimate regression parameters from multiple potentially heterogeneous data sources with correlated vector outcomes. The primary goal of this joint integrative analysis is to estimate covariate effects on all outcomes through a marginal regression model in a statistically and computationally efficient way. We develop a data integration procedure for statistical estimation and inference of regression parameters that is i...
-
作者：Masci, Chiara; Ieva, Francesca; Paganoni, Anna Maria
作者单位：Polytechnic University of Milan
摘要：Many applicative studies deal with multinomial responses and hierarchical data. Performing clustering at the highest level of grouping, in multilevel multinomial regression, is also often of interest. In this study we analyse Politecnico di Milano data with the aim of profiling students, modelling their probabilities of belonging to different categories and considering their nested structure within engineering degree programmes. In particular, we are interested in clustering degree programmes ...
-
作者：Belzile, Leo R.; Davison, Anthony C.
作者单位：Universite de Montreal; HEC Montreal; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要：We discuss the use of likelihood asymptotics for inference on risk measures in univariate extreme value problems, focusing on estimation of high quantiles and similar summaries of risk for uncertainty quantification. We study whether higher-order approximation, based on the tangent exponential model, can provide improved inferences. We conclude that inference based on maxima is generally robust to mild model misspecification and that profile likelihood-based confidence intervals will often be ...
-
作者：Huang, Ying; Zhuang, Yingying; Gilbert, Peter
作者单位：Fred Hutchinson Cancer Center
摘要：This article addresses the evaluation of postrandomization immune response biomarkers as principal surrogate endpoints of a vaccine's protective effect, based on data from randomized vaccine trials. An important metric for quantifying a biomarker's principal surrogacy in vaccine research is the vaccine efficacy curve, which shows a vaccine's efficacy as a function of potential biomarker values if receiving vaccine, among an early-always-at-risk principal stratum of trial participants who remai...
-
作者：Cheung, Ying Kuen; Chandereng, Thevaa; Diaz, Keith M.
作者单位：Columbia University; Columbia University
摘要：In this article we address the problem of estimating minimum effective doses in dose-finding clinical trials of multidimensional treatment. We are motivated by a behavioral intervention trial where we introduce sedentary breaks to subjects with a goal to reduce their glucose level monitored over 8 hours. Each sedentary break regimen is defined by two elements: break frequency and break duration. The trial aims to identify minimum combinations of frequency and duration that shift mean glucose, ...
-
作者：Qian, Junyang; Tanigawa, Yosuke; Li, Ruilin; Tibshirani, Robert; Rivas, Manuel A.; Hastie, Trevor
作者单位：Stanford University; Stanford University; Stanford University
摘要：In high-dimensional regression problems, often a relatively small subset of the features are relevant for predicting the outcome, and methods that impose sparsity on the solution are popular. When multiple correlated outcomes are available (multitask), reduced rank regression is an effective way to borrow strength and capture latent structures that underlie the data. Our proposal is motivated by the UK Biobank population-based cohort study, where we are faced with large-scale, ultrahigh-dimens...
