Parametric estimation of change-points for actual event data in recurrent events models

DOI10.1016/j.csda.2008.08.022zbMath1452.62807OpenAlexW2102381763MaRDI QIDQ961172

Daniel Frobish, Nader Ebrahimi

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.08.022

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Reliability and life testing (62N05)

Related Items (8)

A non-parametric Bayesian change-point method for recurrent events ⋮ A change-point detection and clustering method in the recurrent-event context ⋮ Bayesian change-points detection assuming a power law process in the recurrent-event context ⋮ Confidence intervals for median survival time with recurrent event data ⋮ A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers ⋮ Editorial: Computational statistics within clinical research ⋮ Full and conditional likelihood approaches for hazard change-point estimation with truncated and censored data ⋮ Semiparametric Estimation of a Change-point for Recurrent Events Data

Uses Software

• GASP

Cites Work

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• A new Bayes estimate of the change point in the hazard function
• Estimation in change-point hazard function models.
• Semiparametric inference for a general class of models for recurrent events
• The statistical analysis of recurrent events.
• Approximation Theorems of Mathematical Statistics
• Asymptotic Statistics
• Analysis of interval-grouped recurrent-event data using piecewise constant rate functions
• Continuous-time estimation of A change-point in a poisson process
• Some Simple Robust Methods for the Analysis of Recurrent Events
• Estimation in change-point hazard rate models
• Statistical models based on counting processes

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