Nonparametric analysis of nonhomogeneous multistate processes with clustered observations

@article{Bakoyannis2020NonparametricAO,
  title={Nonparametric analysis of nonhomogeneous multistate processes with clustered observations},
  author={Giorgos Bakoyannis},
  journal={Biometrics},
  year={2020},
  volume={77},
  pages={533 - 546}
}
  • G. Bakoyannis
  • Published 1 December 2019
  • Mathematics, Medicine, Computer Science
  • Biometrics
Abstract Frequently, clinical trials and observational studies involve complex event history data with multiple events. When the observations are independent, the analysis of such studies can be based on standard methods for multistate models. However, the independence assumption is often violated, such as in multicenter studies, which makes standard methods improper. This work addresses the issue of nonparametric estimation and two‐sample testing for the population‐averaged transition and… Expand
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Statistical Communications in Infectious Diseases
Objectives: Estimation of the cascade of HIV care is essential for evaluating care and treatment programs, informing policymakers and assessing targets such as 90-90-90. A challenge to estimating theExpand

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