title: Rank estimation of log-linear regression with interval-censored data.
abstract: Interval-censored data arise in a wide variety of research and application fields such as cancer and AIDS studies. In this paper, we study a log-linear regression model when data are subject to interval censoring. We use a U-statistic based on ranks to estimate regression coefficients and establish large sample properties of the estimator. We illustrate the performance of the proposed estimate with simulations and a numerical example.
authors.affiliation: Department of Mathematics, University of New Orleans, New Orleans, LA 70148, USA. lli@math.uno.edu
authors.forename: Linxiong
authors.initials: L
authors.lastname: Li
authors.forename: Zongwei
authors.initials: Z
authors.lastname: Pu
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology; D001699:Biometry; D003627:Data Interpretation, Statistical; D006801:Humans; D015993:Life Tables; D016014:Linear Models; D009369:Neoplasms / Q000453:epidemiology; D012044:Regression Analysis; D012106:Research; D012680:Sensitivity and Specificity