Objective This study aims to enhance treatment completion prediction beyond the limitations
of traditional logistic regression. Methods Our approach utilizes a two-step machine learning …

We present a new approach to semiparametric inference using corrected posterior
distributions. The method allows us to leverage the adaptivity, regularization and predictive …

In causal inference research, subtle differences in the choice of estimand can have major
implications for identifiability and interpretation. When observational data is used to estimate …

Over the past half century, new methods for quantitative risk prediction and validation were
formalized and the number of models, both statistical and algorithmic, increased …

En primer lugar, al Doctor Enrique Bigné, director de esta Tesis, mi más profundo
agradecimiento por su apoyo, entusiasmo, inteligencia y confianza en mí en todo momento …