A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity

Author:

Martins RuiORCID

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference52 articles.

1. Baghfalaki T, Ganjali M (2015) A Bayesian approach for joint modeling of skew-normal longitudinal measurements and time to event data. REVSTAT-Stat J 13(2):169–191

2. Brezger A, Lang S (2006) Generalized structured additive regression based on Bayesian p-splines. Comput Stat Data Anal 50:967–991

3. Carlin B, Louis T (2001) Bayes and empirical Bayes methods for data analysis, 2nd edn. Chapman & Hall, London

4. Chen J, Huang Y (2015) A Bayesian mixture of semiparametric mixed-effects joint models for skewed-longitudinal and time-to-event data. Stat Med 34(20):2820–2843

5. Christensen R, Johnson W, Branscum A, Hanson TE (2011) Bayesian ideas and data analysis: an introduction for scientists and statisticians. Chapman & Hall/CRC Press, London

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