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Primary care providers perform more neurologic visits than neurologists among Medicare beneficiaries Early View

  • Journal: Journal of Evaluation in Clinical Practice
  • Authors: Brian C. Callaghan, Lesli E. Skolarus, Sarah E. Hartley, Kevin A. Kerber, James F. Burke, Chloe E. Hill, Chun Chieh Lin
  • Published Date: Aug 05, 2020

Abstract Rationale, aims and objectives Little is known about which medical providers, other than neurologists, are involved in the care of neurologic conditions. We aimed to describe the current...

Robust empirical likelihood for time series Early View

  • Journal: Journal of Time Series Analysis
  • Authors: Kun Chen, Rui Huang
  • Published Date: Aug 05, 2020

This article introduces a robust frequency domain empirical likelihood inference procedure for the parametric component in the spectral densities of stationary processes. We construct the empirical...

Empirical and conditional likelihoods for two‐phase studies Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Peisong Han, Jerald F. Lawless, Menglu Che
  • Published Date: Aug 03, 2020

Abstract Two‐phase, response‐dependent sampling is often used in regression settings that involve expensive covariate measurements. Conditional maximum likelihood (CML) is an attractive approach in...

Application of Markov renewal theory and semi‐Markov decision processes in maintenance modeling and optimization of multi‐unit systems Early View

  • Journal: Naval Research Logistics
  • Authors: Nooshin Salari, Viliam Makis
  • Published Date: Aug 03, 2020

Abstract In this paper, a condition‐based maintenance model for a multi‐unit production system is proposed and analyzed using Markov renewal theory. The units of the system are subject to gradual...

Multivariate Hidden Markov Models for disease progression Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Andrea Martino, Giuseppina Guatteri, Anna Maria Paganoni
  • Published Date: Aug 03, 2020

Abstract Disease progression models are a powerful tool for understanding the development of a disease, given some clinical measurements obtained from longitudinal events related to a sample of...

Reliability of safety‐critical systems: A state‐of‐the‐art review Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Ankur Maurya, Divya Kumar
  • Published Date: Aug 03, 2020

Abstract Safety‐critical systems are designed to prevent catastrophic consequences from failure, such as injury or death to humans and environmental damage. These must be carefully designed to ensure...

Polarization reduction by minimum‐cardinality edge additions: Complexity and integer programming approaches Early View

  • Journal: International Transactions in Operational Research
  • Authors: Ruben Interian, Jorge R. Moreno, Celso C. Ribeiro
  • Published Date: Aug 03, 2020

Abstract Real‐world networks are often extremely polarized because the communication between different groups of vertices can be weak and, most of the time, only vertices within the same group or...

Consensus building in linguistic failure mode and effect analysis: A perspective based on prospect theory Early View

  • Journal: Quality and Reliability Engineering International
  • Authors: Hengjie Zhang, Wei Li, Yan Zhu, Chuanhao Fan
  • Published Date: Aug 03, 2020

Abstract As one of many scientific and efficient risk assessment approaches, failure mode and effect analysis (FMEA) has been widely applied across various fields. There are two core issues in the...

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.