Recurrent Events

Background ----- There are many applications of the recurrent events methodology in biostatistics, which include the study of heart attacks, infections, and skin tumors. Some pioneering works in the field of multiple events analysis are done by Andersen and Gill; Wei, Lin and Weissfeld; Prentice, Williams and Peterson;  Cook, Lawless and Nadeau.

See a list of some widely-cited references in this area. (LaTeX)

Some of my works with B.W. Turnbull and L.C. Clark were applied to a large scale clinical trial Nutritional Prevention of Cancer (NPC) reported world-wide in December 1996 (e.g., in CNN, Los Angeles Times, Chicago Tribune, and the World Journal (in Chinese)].  ``The study was designed to look at selenium's effect on skin cancer, but researchers found that while it made no measurable difference there, the mineral did have effects on other types of cancers.''

See the CNN online report of the NPC study. (Html)

Technical Reports
(A set of papers on recurrent events: on sequential design; random effects; measurement error; conditional dependence; mixtures of marginal models; consistent model selection for estimating equations)
 

  • Group Sequential Procedures for Poisson Process Data with Frailty (1998). PostScript , Pdf Journal of Biopharmaceutical Statistics 1999

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  • Regression Models for Recurrent Event Data: Parametric Random Effects Models with Measurement Error. (with B. W. Turnbull and L. C. Clark) Statistics in Medicine (1997), 853-864.

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  • Point Process Regression Models for Multiple Events with Random Effects and Measurement Error.      (with B. W. Turnbull and L. C. Clark) PostScript , Pdf Journal of the American Statistical Association 1999

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  • Tweedie Class Log-linear Models for Longitudinal Data with Random Effects and Internal  Correlation. (with Song, P. X.-K.) PostScript , Pdf Communications in Statistics 2000, Special Issue in Applied Statistics

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  • Mixtures of Marginal Models. (with Rosen, O. and Tanner, M. A.) PostScript Biometrika 2000

    • (This paper contains applications of the mixtures of experts to longitudinal data; and an Expectation-Solution algorithm for solving estimating equations with incomplete data.)
     
  • Consistent Model Selection Based on Parameter Estimates. (With Liu, X.) PostScript , Pdf Journal of Statistical Planning and Inference 2003

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    (last updated on 11/22/2002.)