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      Marginal regression analysis of recurrent events with coarsened censoring times.

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          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.

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          Author and article information

          Journal
          Biometrics
          Biometrics
          Wiley
          1541-0420
          0006-341X
          December 2016
          : 72
          : 4
          Affiliations
          [1 ] Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada.
          [2 ] Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
          Article
          10.1111/biom.12503
          26964859
          8df5b8aa-939f-43b4-bcdb-48782faf6a97
          © 2016, The International Biometric Society.
          History

          Administrative records,Doubly censored data,Event rate/mean function,Local linear estimation,Time-varying regression coefficient

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