title: Marginal regression analysis of recurrent events with coarsened censoring times.
abstract: Motivated by an ongoing pediatric mental health care (PMHC) study, this article presents weakly structured methods for analyzing doubly censored recurrent event data where only coarsened information on censoring is available. The study extracted administrative records of emergency department visits from provincial health administrative databases. The available information of each individual subject is limited to a subject-specific time window determined up to concealed data. To evaluate time-dependent effect of exposures, we adapt the local linear estimation with right censored survival times under the Cox regression model with time-varying coefficients (cf. Cai and Sun, Scandinavian Journal of Statistics 2003, 30, 93-111). We establish the pointwise consistency and asymptotic normality of the regression parameter estimator, and examine its performance by simulation. The PMHC study illustrates the proposed approach throughout the article.
authors.affiliation: Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada.
authors.forename: X Joan
authors.initials: XJ
authors.lastname: Hu
authors.affiliation: Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: Rhonda J
authors.initials: RJ
authors.lastname: Rosychuk
mesh_terms: D001699:Biometry / Q000379:methods*; D002648:Child; D003198:Computer Simulation; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D006801:Humans; D008603:Mental Health; D009819:Office Visits / Q000706:statistics & numerical data; D000067250:Psychiatric Rehabilitation; D012008:Recurrence; D012044:Regression Analysis; D016019:Survival Analysis
keywords: Administrative records; Doubly censored data; Event rate/mean function; Local linear estimation; Time-varying regression coefficient