You are not currently logged in.
Access JSTOR through your library or other institution:
Semiparametric Regression Analysis of Longitudinal Data with Informative Observation Times
Jianguo Sun, Do-Hwan Park, Liuquan Sun and Xingqiu Zhao
Journal of the American Statistical Association
Vol. 100, No. 471 (Sep., 2005), pp. 882-889
Stable URL: http://www.jstor.org/stable/27590620
Page Count: 8
Preview not available
Statistical analysis of longitudinal data has been discussed by many authors, and a number of methods have been proposed. Most of the research have focused on situations where observation times are independent of or carry no information about the response variable and therefore rely on conditional inference procedures given the observation times. This article considers a different situation, where the independence assumption may not hold; that is, the observation times may carry information about the response variable. For inference, estimating equation approaches are proposed, and both large-sample and final-sample properties of the proposed methods are established. The methodology is applied to a bladder cancer study that motivated this investigation.
Journal of the American Statistical Association © 2005 American Statistical Association