Journal of the American Statistical Association

最新文章

• Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data AI翻译
  作者：Frumento, Paolo; Bottai, Matteo; Fernandez-Val, Ivan
  作者单位：University of Pisa; Karolinska Institutet; Boston University
  摘要：In ordinary quantile regression, quantiles of different order are estimated one at a time. An alternative approach, which is referred to as quantile regression coefficients modeling (qrcm), is to model quantile regression coefficients as parametric functions of the order of the quantile. In this article, we describe how the qrcm paradigm can be applied to longitudinal data. We introduce a two-level quantile function, in which two different quantile regression models are used to describe the (c...
• Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates AI翻译
  作者：Guo, Wenchuan; Zhou, Xiao-Hua; Ma, Shujie
  作者单位：University of California System; University of California Riverside; Bristol-Myers Squibb; Peking University; Peking University
  摘要：With a large number of baseline covariates, we propose a new semiparametric modeling strategy for heterogeneous treatment effect estimation and individualized treatment selection, which are two major goals in personalized medicine. We achieve the first goal through estimating a covariate-specific treatment effect (CSTE) curve modeled as an unknown function of a weighted linear combination of all baseline covariates. The weight or the coefficient for each covariate is estimated by fitting a spa...
• Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder AI翻译
  作者：Cui, Yifan; Tchetgen, Eric Tchetgen
  作者单位：University of Pennsylvania
• Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO AI翻译
  作者：Zhang, Cheng; Dinh, Vu; Matsen, Frederick A.
  作者单位：Peking University; Peking University; University of Delaware; Fred Hutchinson Cancer Center
  摘要：Phylogenetic tree inference using deep DNA sequencing is reshaping our understanding of rapidly evolving systems, such as the within-host battle between viruses and the immune system. Densely sampled phylogenetic trees can contain special features, including sampled ancestors in which we sequence a genotype along with its direct descendants, and polytomies in which multiple descendants arise simultaneously. These features are apparent after identifying zero-length branches in the tree. However...
• Forecasting Unemployment Using Internet Search Data via PRISM AI翻译
  作者：Yi, Dingdong; Ning, Shaoyang; Chang, Chia-Jung; Kou, S. C.
  作者单位：Williams College; National University of Singapore; Harvard University
  摘要：Big data generated from the Internet offer great potential for predictive analysis. Here we focus on using online users' Internet search data to forecast unemployment initial claims weeks into the future, which provides timely insights into the direction of the economy. To this end, we present a novel method Penalized Regression with Inferred Seasonality Module (PRISM), which uses publicly available online search data from Google. PRISM is a semiparametric method, motivated by a general state-...
• Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial-Temporal Point Processes With Covariates AI翻译
  作者：Park, Junhyung; Schoenberg, Frederic Paik; Bertozzi, Andrea L.; Brantingham, P. Jeffrey
  作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
  摘要：Reported gang-related violent crimes in Los Angeles, California, from 1/1/14 to 12/31/17 are modeled using spatial-temporal marked Hawkes point processes with covariates. We propose an algorithm to estimate the spatial-temporally varying background rate nonparametrically as a function of demographic covariates. Kernel smoothing and generalized additive models are used in an attempt to model the background rate as closely as possible in an effort to differentiate inhomogeneity in the background...
• Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health AI翻译
  作者：Liao, Peng; Klasnja, Predrag; Murphy, Susan
  作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; Harvard University
  摘要：Due to the recent advancements in wearables and sensing technology, health scientists are increasingly developing mobile health (mHealth) interventions. In mHealth interventions, mobile devices are used to deliver treatment to individuals as they go about their daily lives. These treatments are generally designed to impact a near time, proximal outcome such as stress or physical activity. The mHealth intervention policies, often called just-in-time adaptive interventions, are decision rules th...
• Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists AI翻译
  作者：Chan, Lax; Silverman, Bernard W.; Vincent, Kyle
  作者单位：University of Nottingham
  摘要：Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and modern slavery. In such contexts, it is not uncommon to see sparse or even no overlap between some of the lists on which the estimates are based. These create difficulties in model fitting and selection, and we develop inference procedures to address these challenges. The approach is based on Poisson log-linear regr...
• Discussion of Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data AI翻译
  作者：Hu, Jian; Li, Mingyao
  作者单位：University of Pennsylvania
• Discussion of Kallus and Mo, Qi, and Liu: New Objectives for Policy Learning AI翻译
  作者：Vansteelandt, Stijn; Dukes, Oliver
  作者单位：Ghent University; University of London; London School of Hygiene & Tropical Medicine