3 papers
stat.AP2019
A Tutorial for Joint Modeling of Longitudinal and Time-to-Event Data in R
Sezen Cekic, Stephen Aichele, Andreas M. Brandmaier +2
In biostatistics and medical research, longitudinal data are often composed of repeated assessments of a variable (e.g., blood pressure or other biomarkers) and dichotomous indicat…
stat.AP2017
Time, Frequency & Time-Varying Causality Measures in Neuroscience
Sezen Cekic, Didier Grandjean, Olivier Renaud
This article proposes a systematic methodological review and objective criticism of existing methods enabling the derivation of time-varying Granger-causality statistics in neurosc…
stat.ME2017
Multiscale Bayesian State Space Model for Granger Causality Analysis of Brain Signal
Sezen Cekic, Didier Grandjean, Olivier Renaud
Modelling time-varying and frequency-specific relationships between two brain signals is becoming an essential methodological tool to answer heoretical questions in experimental ne…