Analysis of Panel Count Data with Dependent Observation Times

• Published in: Communications in statistics. Simulation and computation Vol. 35; no. 4; pp. 983 - 990
• Main Author: Kim, Yang-Jin
• Format: Journal Article
• Language: English
• Published: Colchester Taylor & Francis Group 01.12.2006; Taylor & Francis
• Subjects: Applications; Biology, psychology, social sciences; EM algorithm; Exact sciences and technology; Frailty effect; Informative observation time; Linear inference, regression; Mathematics; Medical sciences; Mixed Poisson model; Panel count data; Primary 62J99; Probability and statistics; Sciences and techniques of general use; Secondary 62P10; Statistics; Frailty effect; Panel count data. Primary 62J99; Data analysis; Recurrence relation; Informative observation time; Statistical estimation; Regression analysis; Semiparametric method; Poisson process; Statistical method; Panel data; Observation data; Clinical trial; Tumor; Secondary 62P10; Mixed Poisson model; EM algorithm; Intensity function

In this article, a semiparametric approach is proposed for the regression analysis of panel count data. Panel count data commonly arise in clinical trials and demographical studies where the response variable is the number of multiple recurrences of the event of interest and observation times are no...