A key hypothesis in epidemiological studies is that time to disease exposure provides relevant information to be considered in statistical models However, the initiation time of a particular condition is usually unknown So, we developed a multiple imputation methodology for the age at onset of a particular condition, which is supported by incidence data from different sources of information.
Danilo Alvares is an Assistant Professor in the Department of Statistics at the Pontificia Universidad Católica de Chile, and before that, he was a Postdoctoral Research Fellow in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (USA). Danilo holds a B.Sc. in Applied Mathematics and Scientific Computing and an M.Sc. in Computer Science and Computational Mathematics from the University of São Paulo (BRAZIL), and an M.Sc. in Biostatistics and a Ph.D. in Statistics from the University of Valencia (Spain). His research is focused on Bayesian statistics, particularly joint models for longitudinal and time-to-event data, survival analysis, longitudinal analysis, and computational methods
WHEN AND WHERE
WEDNESDAY, MARCH 17TH
15:00 – 16:00 PM
Zoom link: https://zoom.us/j/98954371629