+ Site Statistics
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

Regression analysis of mixed recurrent-event and panel-count data with additive rate models

Regression analysis of mixed recurrent-event and panel-count data with additive rate models

Biometrics 71(1): 71-79

Event-history studies of recurrent events are often conducted in fields such as demography, epidemiology, medicine, and social sciences (Cook and Lawless, 2007, The Statistical Analysis of Recurrent Events. New York: Springer-Verlag; Zhao et al., 2011, Test 20, 1-42). For such analysis, two types of data have been extensively investigated: recurrent-event data and panel-count data. However, in practice, one may face a third type of data, mixed recurrent-event and panel-count data or mixed event-history data. Such data occur if some study subjects are monitored or observed continuously and thus provide recurrent-event data, while the others are observed only at discrete times and hence give only panel-count data. A more general situation is that each subject is observed continuously over certain time periods but only at discrete times over other time periods. There exists little literature on the analysis of such mixed data except that published by Zhu et al. (2013, Statistics in Medicine 32, 1954-1963). In this article, we consider the regression analysis of mixed data using the additive rate model and develop some estimating equation-based approaches to estimate the regression parameters of interest. Both finite sample and asymptotic properties of the resulting estimators are established, and the numerical studies suggest that the proposed methodology works well for practical situations. The approach is applied to a Childhood Cancer Survivor Study that motivated this study.

(PDF emailed within 0-6 h: $19.90)

Accession: 055446668

Download citation: RISBibTeXText

PMID: 25345405

DOI: 10.1111/biom.12247

Related references

Regression analysis of mixed recurrent-event and panel-count data. Biostatistics 15(3): 555-568, 2015

Clustered mixed nonhomogeneous Poisson process spline models for the analysis of recurrent event panel data. Biometrics 64(3): 751-761, 2007

Multivariate count data regression models with individual panel data from an on-site sample. Journal of Environmental Economics and Management 52(2): 567-581, 2006

Regression models for recurrent event data: Parametric random effects models with measurement error. Statistics in Medicine 16(8): 853-864, 1997

Regression analysis of multivariate panel count data. Biostatistics 9(2): 234-248, 2007

Regression analysis of multivariate recurrent event data with a dependent terminal event. Lifetime Data Analysis 16(4): 478-490, 2011

Mixed Poisson likelihood regression models for longitudinal interval count data. Biometrics 44(1): 197-209, 1988

A class of accelerated means regression models for recurrent event data. Lifetime Data Analysis 14(3): 357-375, 2008

Regression analysis of panel count data with dependent observation times. Biometrics 63(4): 1053-1059, 2007

Marginal regression models with time-varying coefficients for recurrent event data. Statistics in Medicine 30(18): 2265-2277, 2011

Dynamic analysis of recurrent event data using the additive hazard model. Biometrical Journal. Biometrische Zeitschrift 48(3): 381-398, 2006

Additive and multiplicative hazards modeling for recurrent event data analysis. Bmc Medical Research Methodology 11(): 101-101, 2011

Joint analysis of panel count data with an informative observation process and a dependent terminal event. Lifetime Data Analysis (): -, 2016