This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 257
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308752
Title: Censoring Circumcision's Effect on HPV Clearance
Author(s): Xiangrong Kong*+
Companies: Johns Hopkins Bloomberg School of Public Health
Address: , , 21205,
Keywords: Clustered data ; Arbitrary censoring ; HPV clearance ; Male circumcision. ; Frailty model

In epidemiology studies,subjects maybe followed for a period during which study outcomes are measured at selected times, such as by diagnostic testings.Although test results may indicate the presence/absence of a disease,they cannot provide exact information on when it occurred. Such designs generate arbitrarily censored survival data. Adding to this complexity, the data may be correlated within clusters. We describe the use of parametric frailty models to examine the relationship between exposures and arbitrary censored outcomes, while accounting for within-cluster correlation. SAS can be used for parameter estimation. The data structure and method are illustrated by studying circumcision's effect on HPV clearance using data from a male circumcision trial,where the multiple infections within individual and HPV testings at followups gave rise to the arbitrary censored and clustered data.

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