Han, J., Mao, W.J., Ni, J.X., et al. (2020) Rate and Determinants of Recurrence at 1 Year and 5 Years after Stroke in a Low-Income Population in Rural China. Frontiers in Neurology, 11, Article No. 2.
https://doi.org/10.3389/fneur.2020.00002

has been cited by the following article:

• TITLE: Using Extreme Value Theory Approaches to Estimate High Quantiles for Stroke Data

  AUTHORS: Justin Ushize Rutikanga, Aliou Diop, Charline Uwilingiyimana

  KEYWORDS: Censored Data, Conditional Extreme Quantile, Kernel Estimator, Weibull Tail Coefficient

  JOURNAL NAME: Open Journal of Statistics, Vol.14 No.1, February 29, 2024

  ABSTRACT: This paper aims to explore the application of Extreme Value Theory (EVT) in estimating the conditional extreme quantile for time-to-event outcomes by examining the functional relationship between ambulatory blood pressure trajectories and clinical outcomes in stroke patients. The study utilizes EVT to analyze the functional connection between ambulatory blood pressure trajectories and clinical outcomes in a sample of 297 stroke patients. The 24-hour ambulatory blood pressure measurement curves for every 15 minutes are considered, acknowledging a censored rate of 40%. The findings reveal that the sample mean excess function exhibits a positive gradient above a specific threshold, confirming the heavy-tailed distribution of data in stroke patients with a positive extreme value index. Consequently, the estimated conditional extreme quantile indicates that stroke patients with higher blood pressure measurements face an elevated risk of recurrent stroke occurrence at an early stage. This research contributes to the understanding of the relationship between ambulatory blood pressure and recurrent stroke, providing valuable insights for clinical considerations and potential interventions in stroke management.