A comparison of some random effect models for parameter estimation in recurrent events

DOI10.1016/S0895-7177(00)00117-5zbMath0970.62052OpenAlexW1968282845MaRDI QIDQ5938270

Edmund T. M. Ng, Richard J. Cook

Publication date: 3 October 2001

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0895-7177(00)00117-5

zbMATH Keywords

biasPoisson processchronic granulomatous disease (CGD)gamma interferonmixing distributionmultiplicative intensity modelsrenewal process

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09)

Related Items (3)

TESTING FOR RANDOM EFFECTS IN COMPOUND RISK MODELS VIA BREGMAN DIVERGENCE ⋮ Robust estimation for the Weibull process applied to eruption records ⋮ Robust frailty modelling using non-proportional hazards models

Cites Work

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• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bivariate frailty model for the analysis of multivariate survival time
• Some recent developments for regression analysis of multivariate failure time data
• Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems
• Regression Methods for Poisson Process Data
• An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• A Logistic-Bivariate Normal Model for Overdispersed Two-State Markov Processes
• Approximate Inference in Generalized Linear Mixed Models
• Some Simple Robust Methods for the Analysis of Recurrent Events
• Statistical models based on counting processes

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