The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds ...

A partir de una muestra de datos de supervivencia que contiene valores no observados en las covariantes de interés, presentamos una metodología que permite extraer toda la información contenida en covariantes completamente ...

Conclusions from randomized clinical trials (RCT) rely primarily on the primary endpoint (PE) chosen at the design stage of the study. There should generally be only one PE which should be able to provide the most clinically ...

This article considers the combination of two binary or two time-to-event endpoints to form the primary composite endpoint for leading a trial. • It discusses the relative efficiency of choosing a composite endpoint over ...

We extend the ARE method proposed in Gómez and Lagakos (2013) devised to decide which primary endpoint to choose when comparing two treatments in a randomized clinical trial. The ARE method is based on the Asymptotic ...

Large datasets including an extensive number of covariates are generated these days in many different situations, for instance, in detailed genetic studies of outbreed human populations or in complex analyses of immune ...