We propose a joint model to analyze the structure and intensity of the association between longitudinal measurements of an ordinal marker and time to a relevant event. The longitudinal process is defined in terms of a ...

Biostatistics has become a major scientific component of biomedical research with a strong interdisciplinary basis. This endeavour is essentially interdisciplinary, therefore, training of future biostatisticians must ...

Competing risks data usually arises in studies in which the failure of an individual may be classified into one of k (k > 1) mutually exclusive causes of failure. When competing risks are present, classical survival analysis ...

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 ...

Knowledge of prognostic factors is an important task for the clinical management of Non Hodgkin Lymphoma (NHL). In this work, we study the variables affecting survival of NHL in Peru by means of geoadditive Cox-type ...

The main purpose of this work is to study the effect that a large percentage of right censoring has on the estimation of the regression parameters under a proportional hazards model. To accomplish this we conduct a simulation ...

Intact and broad immune cell effector functions and specific individual cytokines have been linked to HIV disease outcome, but their relative contribution to HIV control remains unclear. We asked whether the proteome of ...

In survival analysis, the lifetimes may be observed in some speci¯ed order, where the time to event Tk, cannot be observed until T1; :::; Tk¡1 have been observed. The present work proposes a joint model of two sequential ...