+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ 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 for recurrent events data under dependent censoring



Regression analysis for recurrent events data under dependent censoring



Biometrics 67(3): 719-729



Recurrent events data are commonly seen in longitudinal follow-up studies. Dependent censoring often occurs due to death or exclusion from the study related to the disease process. In this article, we assume flexible marginal regression models on the recurrence process and the dependent censoring time without specifying their dependence structure. The proposed model generalizes the approach by Ghosh and Lin (2003, Biometrics 59, 877-885). The technique of artificial censoring provides a way to maintain the homogeneity of the hypothetical error variables under dependent censoring. Here we propose to apply this technique to two Gehan-type statistics. One considers only order information for pairs whereas the other utilizes additional information of observed censoring times available for recurrence data. A model-checking procedure is also proposed to assess the adequacy of the fitted model. The proposed estimators have good asymptotic properties. Their finite-sample performances are examined via simulations. Finally, the proposed methods are applied to analyze the AIDS linked to the intravenous experiences cohort data.

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

Accession: 055446653

Download citation: RISBibTeXText

PMID: 21039394

DOI: 10.1111/j.1541-0420.2010.01497.x


Related references

Semiparametric analysis of recurrent events data in the presence of dependent censoring. Biometrics 59(4): 877-885, 2004

Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring. Biometrics 59(4): 7-85, 2003

Marginal regression analysis of recurrent events with coarsened censoring times. Biometrics (): -, 2016

Regression analysis of multivariate current status data with dependent censoring: application to ankylosing spondylitis data. Statistics in Medicine 33(5): 772-785, 2014

Regression analysis of current status data in the presence of a cured subgroup and dependent censoring. Lifetime Data Analysis (): -, 2016

Semiparametric analysis for recurrent event data with time-dependent covariates and informative censoring. Biometrics 66(1): 39-49, 2010

Analysis of multivariate recurrent event data with time-dependent covariates and informative censoring. Biometrical Journal. Biometrische Zeitschrift 54(5): 585-599, 2013

Regression modeling with recurrent events and time-dependent interval-censored marker data. Lifetime Data Analysis 9(3): 275-291, 2003

Semiparametric Regression Estimation for Recurrent Event Data with Errors in Covariates under Informative Censoring. International Journal of Biostatistics 12(2): -, 2016

A copula-based mixed Poisson model for bivariate recurrent events under event-dependent censoring. Statistics in Medicine 29(6): 694-707, 2010

Regression analysis of grouped survival data with incomplete covariates: Nonignorable missing-data and censoring mechanisms. Biometrics 50(3): 821-826, 1994

Regression survival analysis with an assumed copula for dependent censoring: a sensitivity analysis approach. Biometrics 64(4): 1090-1099, 2008

Semiparametric analysis of recurrent events: artificial censoring, truncation, pairwise estimation and inference. Lifetime Data Analysis 16(4): 509-524, 2011

Linear regression analysis of survival data with missing censoring indicators. Lifetime Data Analysis 17(2): 256-279, 2011