Publications by authors named "Yolanda M Gomez"
Objective: to evaluate the immune response to the SARS-CoV-2 vaccines in adults with immune-mediated rheumatic diseases (IMRDs) in comparison to healthy individuals, observed 1-20 weeks following the fourth vaccine dose. Additionally, to evaluate the impact of immunosuppressive therapies, vaccination schedules, the time interval between vaccination and sample collection on the vaccine's immune response.
Methods: We designed a longitudinal observational study conducted at the rheumatology department of Hospital de Copiapó.
Over the last decades, the challenges in survival models have been changing considerably and full probabilistic modeling is crucial in many medical applications. Motivated from a new biological interpretation of cancer metastasis, we introduce a general method for obtaining more flexible cure rate models. The proposal model extended the promotion time cure rate model.
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- The article presents an advanced negative binomial cure rate model that uses a piecewise exponential distribution to accommodate both increasing and decreasing hazard functions, unlike standard models that assume a fixed shape.
- This new modeling technique allows for greater flexibility in analyzing cure rates by varying the time intervals considered.
- The authors conduct Monte Carlo simulations and apply their model to real health data from melanoma and leukemia cases to demonstrate its effectiveness.
In this paper, we propose a generalization of the power series cure rate model for the number of competing causes related to the occurrence of the event of interest. The model includes distributions not yet used in the cure rate models context, such as the Borel, Haight and Restricted Generalized Poisson distributions. The model is conveniently parameterized in terms of the cure rate.
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