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A Bayesian Bernoulli-Exponential joint model for binary longitudinal outcomes and informative time with applications to bladder cancer recurrence data

Crossref DOI link: https://doi.org/10.1186/s12874-024-02160-2

Published Online: 2024-03-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Oduro, Michael Safo
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Text and Data Mining valid from 2024-03-01

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Article History

Received: 10 September 2023

Accepted: 24 January 2024

First Online: 1 March 2024

Declarations

:

: Ethical approval was not required for this study since the data used for this study are secondary data and openly/publicly available in R software.

: Not applicable.

: The author declares no competing interests. Also, the author currently works for Pfizer Inc. Results, views or research findings expressed in this manuscript do not necessarily reflect those of Pfizer, Inc.

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