A Bayesian Bernoulli-Exponential joint model for binary longitudinal outcomes and informative time with applications to bladder cancer recurrence data.
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Full Title: BMC Med Res Methodol
Abbreviation: BMC Med Res Methodol
Country: Unknown
Publisher: Unknown
Language: N/A
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"Declarations Ethics approval and consent to participateEthical approval was not required for this study since the data used for this study are secondary data and openly/publicly available in R software. Consent for publicationNot applicable. Competing interestsThe 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. Competing interests 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."
"Funding This project was self-funded."
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Last Updated: Aug 05, 2025