Joint modeling of longitudinal outcomes and survival using latent growth modeling approach in a mesothelioma trial

Abstract

Joint modeling of longitudinal and survival data can provide more efficient and less biased estimates of treatment effects through accounting for the associations between these two data types. Sponsors of oncology clinical trials routinely and increasingly include patient-reported outcome (PRO) instruments to evaluate the effect of treatment on symptoms… (More)
DOI: 10.1007/s10742-012-0092-z

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Cite this paper

@inproceedings{Wang2012JointMO, title={Joint modeling of longitudinal outcomes and survival using latent growth modeling approach in a mesothelioma trial}, author={Ping Wang and Wei Shen and Mark Ernest Boye}, booktitle={Health Services and Outcomes Research Methodology}, year={2012} }