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Title: Progressive multi-state models with misclassified states Authors:  Grace Yi - University of Western Ontario (Canada) [presenting]
Abstract: Progressive multi-state models are commonly used in studies of disease progression. Methods developed under this framework, however, are often challenged by misclassification in states. We will discuss issues concerning continuous time progressive multi-state models with state misclassification. We will describe inference methods using both the likelihood and pairwise likelihood methods that are based on joint modelling of the transition and misclassification processes. The performance of estimation procedures is evaluated by numerical studies.