Stats Webinar | Recent Advances in Survival Analysis: Methodological Developments and Applications
Stats Webinar | Recent Advances in Survival Analysis: Methodological Developments and Applications
26 June 2026
Survival Analysis, Recurrent Events, Cure Rate Models, Frailty Models, Biomedical Statistics, Reliability Analysis, Time-To-Event Data, Machine Learning for Survival Data
Welcome from the Chairs
1st Stats Webinar
Recent Advances in Survival Analysis: Methodological Developments and Applications
This webinar brings together leading researchers to discuss recent methodological developments in survival analysis, with a particular focus on spatial survival models, joint modeling approaches, competing risks, frailty models, and applications in biomedical and public health research. Participants will gain insights into modern statistical methods for analyzing time-to-event data and learn how these approaches can be used to address complex real-world challenges in medicine, epidemiology, and population health studies.
The webinar is intended for researchers, graduate students, and practitioners interested in contemporary advances in survival analysis and their practical implementation. Through presentations and discussions with internationally recognized experts, attendees will have the opportunity to explore innovative modeling strategies, emerging research directions, and opportunities for interdisciplinary collaboration in this rapidly evolving area of statistics.
Date: 26 June 2026
Time: 7:00 pm CEST | 1:00 pm EDT
Webinar ID: 884 9524 5137
Webinar Secretariat: journal.webinar@mdpi.com
Event Chairs
Vera Tomazella is a Senior Professor at the Federal University of São Carlos (UFSCar), Brazil, and a Visiting Professor at the Federal University of Paraíba (UFPB). She holds a Ph.D. in Computational and Applied Mathematics from the University of São Paulo (USP) and completed postdoctoral studies at the University of Valencia (Spain) and the University of Manchester (UK). She is an elected member of the International Statistical Institute (ISI), a member of the Education Committee of the International Biometric Society (IBS), former President of the Brazilian Statistical Association (ABE), and former President of the Brazilian Region of the International Biometric Society (RBras). Her research interests include survival analysis, reliability, risk models, Bayesian inference, diagnostic analysis, and nonlinear statistical models, with applications in medicine, public health, and engineering.
MRC Biostatistics Unit, University of Cambridge, UK; Institute of Mathematical and Computer Sciences, University of São Paulo, Brazil
Danilo Alvares is a Researcher in the MRC Biostatistics Unit at the University of Cambridge (UK) and a Postdoctoral Research Fellow in the Institute of Mathematical and Computer Sciences at the University of São Paulo (Brazil). His research topics are Bayesian methods, longitudinal data, survival/reliability analysis, and statistical modeling in public health and educational studies. Previously, Dr. Alvares was an Assistant Professor in the Department of Statistics at the Pontificia Universidad Católica de Chile (Chile) and a Postdoctoral Research Fellow in the Department of Biostatistics at Harvard University (USA). He 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 Universitat de València (Spain).
Invited Speakers
Department of Statistics, University of Pretoria, South Africa
Janet Van Niekerk is an Associate Professor at the University of Pretoria in South Africa. Her research is centered on the development of efficient Bayesian methods and their practical implementation, with a particular focus on complex survival analysis and statistics for medical applications. As a key member of the INLA development team, she has made significant contributions to the INLA methodology itself, authoring seminal papers on fundamental improvements that enhance the algorithm’s speed, stability, and scalability. She is an Associate Editor for Statistics and Computing and SoftwareX and serves on various committees of the International Statistical Institute.
Agatha is an Assistant Professor in the Department of Statistics at the Federal University of Paraíba (UFPB). She holds a Ph.D. and M.Sc. in Statistics from the Institute of Mathematics and Statistics at the University of São Paulo (2018 and 2013) and a B.Sc. in Statistics from the Federal University of São Carlos (2010). Her research interests include probability, reliability analysis, survival analysis, and biostatistics. She coordinates the Brazilian Obstetric Observatory, a maternal and child health data monitoring platform supported by CNPq, FAPES, and the Bill & Melinda Gates Foundation. She is also a permanent faculty member in the Graduate Program in Computer Science at the Federal University of Espírito Santo and in the Graduate Program in Gynecology and Obstetrics at the University of São Paulo. She currently serves as First Secretary of RBras (2024–2026) and chaired the organizing committee of the 69th RBras and 21st SEAGRO.
Registration
This is a FREE webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Certificates of attendance will be delivered to those who attend the live webinar.
Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.
Program
| Speaker/Presentation | Time in CEST | Time in EDT |
|
Chair Introduction Prof. Dr. Vera Tomazella |
7:00 - 7:10 pm | 1:00 - 1:10 pm |
|
Spatial Survival and Joint Models Dr. Janet Van Niekerk |
7:10 - 7:45 pm | 1:10 - 1:45 pm |
|
Chair Discussion and Q&A Dr. Danilo Alvares |
7:45 - 8:00 pm | 1:45 - 2:00 pm |
|
Competing Risks and Spatial Frailty in Time-to-Delivery Analysis: An Application to Health Regions in Brazil Dr. Agatha Rodrigues |
8:00 - 8:35 pm | 2:00 - 2:35 pm |
|
Chair Discussion and Q&A Dr. Danilo Alvares |
8:35 - 8:50 pm | 2:35 - 2:50 pm |
|
Closing of Webinar Prof. Dr. Vera Tomazella |
8:50 - 9:00 pm | 2:50 - 3:00 pm |
Sponsors and Partners
Organizers
