2021

最新文章

• Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools AI翻译
  作者：Karmakar, Bikram; Small, Dylan S.; Rosenbaum, Paul R.
  作者单位：State University System of Florida; University of Florida; University of Pennsylvania
  摘要：Absent randomization, causal conclusions gain strength if several independent evidence factors concur. We develop a method for constructing evidence factors from several instruments plus a direct comparison of treated and control groups, and we evaluate the methods performance in terms of design sensitivity and simulation. In the application, we consider the effectiveness of Catholic versus public high schools, constructing three evidence factors from three past strategies for studying this qu...
• Graph-Based Equilibrium Metrics for Dynamic Supply-Demand Systems With Applications to Ride-sourcing Platforms AI翻译
  作者：Zhou, Fan; Luo, Shikai; Qie, Xiaohu; Ye, Jieping; Zhu, Hongtu
  作者单位：Shanghai University of Finance & Economics
  摘要：How to dynamically measure the local-to-global spatio-temporal coherence between demand and supply networks is a fundamental task for ride-sourcing platforms, such as DiDi. Such coherence measurement is critically important for the quantification of the market efficiency and the comparison of different platform policies, such as dispatching. The aim of this paper is to introduce a graph-based equilibrium metric (GEM) to quantify the distance between demand and supply networks based on a weight...
• Handbook of Spatial Epidemiology AI翻译
  作者：Moraga, Paula
  作者单位：King Abdullah University of Science & Technology
• Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization AI翻译
  作者：Li, Yutong; Zhu, Ruoqing; Qu, Annie; Ye, Han; Sun, Zhankun
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of California System; University of California Irvine; University of Illinois System; University of Illinois Urbana-Champaign; City University of Hong Kong
  摘要：Emergency department (ED) crowding is a universal health issue that affects the efficiency of hospital management and patient care quality. ED crowding frequently occurs when a request for a ward-bed for a patient is delayed until a doctor makes an admission decision. In this case study, we build a classifier to predict the disposition of patients using manually typed nurse notes collected during triage as provided by the Alberta Medical Center. These predictions can potentially be incorporate...
• Extreme and Inference for Tail Gini Functionals With Applications in Tail Risk Measurement AI翻译
  作者：Hou, Yanxi; Wang, Xing
  作者单位：Fudan University; Illinois Institute of Technology
  摘要：Tail risk analysis focuses on the problem of risk measurement on the tail regions of financial variables. As one crucial task in tail risk analysis for risk management, the measurement of tail risk variability is less addressed in the literature. Neither the theoretical results nor inference methods are fully developed, which results in the difficulty of modeling implementation. Practitioners are then short of measurement methods to understand and evaluate tail risks, even when they have large...
• Prediction Intervals for Synthetic Control Methods AI翻译
  作者：Cattaneo, Matias D.; Feng, Yingjie; Titiunik, Rocio
  作者单位：Princeton University; Tsinghua University; Princeton University
  摘要：Uncertainty quantification is a fundamental problem in the analysis and interpretation of synthetic control (SC) methods. We develop conditional prediction intervals in the SC framework, and provide conditions under which these intervals offer finite-sample probability guarantees. Our method allows for covariate adjustment and nonstationary data. The construction begins by noting that the statistical uncertainty of the SC prediction is governed by two distinct sources of randomness: one coming...
• Advanced Survival Models AI翻译
  作者：Kang, Sangwook
  作者单位：Yonsei University
• Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data AI翻译
  作者：Quick, Corbin; Dey, Rounak; Lin, Xihong
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health; Harvard University
  摘要：Modeling infectious disease dynamics has been critical throughout the COVID-19 pandemic. Of particular interest are the incidence, prevalence, and effective reproductive number (R-t). Estimating these quantities is challenging due to under-ascertainment, unreliable reporting, and time lags between infection, onset, and testing. We propose a Multilevel Epidemic Regression Model to Account for Incomplete Data (MERMAID) to jointly estimate R-t, ascertainment rates, incidence, and prevalence over ...
• Matrix Completion Methods for Causal Panel Data Models AI翻译
  作者：Athey, Susan; Bayati, Mohsen; Doudchenko, Nikolay; Imbens, Guido; Khosravi, Khashayar
  作者单位：Stanford University; National Bureau of Economic Research; Stanford University; Stanford University; Stanford University
  摘要：In this article, we study methods for estimating causal effects in settings with panel data, where some units are exposed to a treatment during some periods and the goal is estimating counterfactual (untreated) outcomes for the treated unit/period combinations. We propose a class of matrix completion estimators that uses the observed elements of the matrix of control outcomes corresponding to untreated unit/periods to impute the missing elements of the control outcome matrix, corresponding to ...
• Design of experiments for generalized linear models AI翻译
  作者：Choe, Youngjun
  作者单位：University of Washington; University of Washington Seattle