Abstract
This chapter discusses one-sample analysis of panel count data with the focus on nonparametric estimation of the mean function of the underlying recurrent event process. As discussed above, one main objective of recurrent event studies is to investigate the recurrence pattern or shape of the recurrent event of interest. Although not completely determining the underlying process, the mean function does provide some insights about the recurrence patterns or shapes. Also it can be used for a graphical presentation of the underlying process as survival functions for failure time processes. Of course, it would be ideal to estimate the corresponding intensity process, but as discussed before, this is not possible for panel count data in general without some restrictive assumptions.
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Sun, J., Zhao, X. (2013). Nonparametric Estimation. In: Statistical Analysis of Panel Count Data. Statistics for Biology and Health, vol 80. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8715-9_3
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DOI: https://doi.org/10.1007/978-1-4614-8715-9_3
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