Seminar Notice

Statistical Laboratory

Iowa State University

DATE AND TIME: Monday, May 22 9:10 a.m.

PLACE: B29 Atanasoff Hall

SPEAKER: Yaqin Wang

TITLE: Accelerated Failure Time Model with Random Effects

ABSTRACT

Correlated survival data with possible censoring are frequently
encountered in survival analysis. To analyze such data, we propose
accelerated failure time (AFT) models based on frailties with a
multivariate lognormal joint distribution.  These models allow for
random effects with complicated dependence structure that may be a
function of unknown covariance parameters. They can be applied to
right, left or interval-censored survival data. An approximate maximum
likelihood estimation procedure is derived from the Laplace
approximation to the marginal likelihood. The performance of this
estimation procedure is evaluated through several simulation studies.
The methodology is illustrated with an application to data taken from
the Minnesota Breast Cancer Family Resource.

COFFEE: 8:45 a.m., 104 Snedecor Hall

Seminar schedules and abstracts are available via WWW: http://www.stat.iastate.edu/