Abstract
Recurrent event data arise commonly in public health and medical studies. While analysis of such data has similarities to that of survival data for many settings, recurrent event data have their own special features. Compared to the extensive attention given to survival data with covariate measurement error, there are relatively limited discussions on analysis of error-prone recurrent event data. In this chapter, we discuss several models and methods to shed light on this topic.
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Yi, G.Y. (2017). Recurrent Event Data with Measurement Error. In: Statistical Analysis with Measurement Error or Misclassification. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6640-0_4
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DOI: https://doi.org/10.1007/978-1-4939-6640-0_4
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