We propose an extension of the stochastic block model for recurrent interaction events in
continuous time, where every individual belongs to a latent group and conditional …

Aims/hypothesis Chronic hyperglycaemia, as measured by HbA 1c levels, is a major risk
factor for atherosclerosis and cardiovascular disease (CVD) in type 1 diabetes. Our aim was …

Allogeneic hematopoietic stem cell transplantation (alloHSCT) is increasingly being used for
treatment of hematologic malignancies, and the immunologic graft-versus-tumor effect (GVT) …

The development of statistical models for continuous-time longitudinal network data is of
increasing interest in machine learning and social science. Leveraging ideas from survival …

Actualmente los modelos multivariables de regresión son parte importante del arsenal de la
investigación clínica, ya sea para la creación de puntuaciones con fines pronósticos o en …

This paper provides guidance for researchers with some mathematical background on the
conduct of time‐to‐event analysis in observational studies based on intensity (hazard) …

Species distribution models predict shifts in forest habitat in response to warming
temperatures associated with climate change, yet tree migration rates lag climate change …

Inference for the conditional association between an exposure and a time-to-event endpoint,
given covariates, is routinely based on partial likelihood estimators for hazard ratios …

In bone marrow transplantation studies, patients are followed over time and a number of
events may be observed. These include both ultimate events like death and relapse and …

In data sets with many more features than observations, independent screening based on all
univariate regression models leads to a computationally convenient variable selection …