4 papers
A parametric framework for assessing and estimating sufficient follow-up time in cure models
Luiz Silva-Resende, Dionisio Alves-Neto, Danilo Alvares +1
Reliable estimation of cure fractions depends critically on adequate follow-up. Classical procedures for assessing follow-up sufficiency are primarily inferential, whereas a separa…
Bayesian defective Marshall-Olkin Gompertz model: an integrated approach to identifying cure fraction
Dionisio Alves-Neto, Vera Lucia Tomazella, Adriano Suzuki +1
Regression models have a substantial impact on interpretation of treatments, genetic characteristics and other potential risk factors in survival analysis. In many applications, th…
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
Dionisio Silva Neto, Denis Rustand, Haavard Rue +2
In recent medical studies, the combination of longitudinal measurements with time-to-event data has increased the demand for more sophisticated models without unbiased estimates. J…
A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
Katy C. Molina, JoaquÃn MartÃnez-Minaya, Danilo Alvares +1
Frailty survival models are widely used to capture unobserved heterogeneity among individuals in clinical and epidemiological research. This paper introduces a Bayesian survival mo…