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Stats Webinar | Recent Advances in Survival Analysis: Methodological Developments and Applications

26 June 2026
19:00 (CEST)
Online

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, cure rate regression models, and Bayesian inference methods. Participants will gain insights into modern statistical techniques for analyzing time-to-event data and learn how these approaches can be applied to complex challenges in biomedical, epidemiological, and public health research.

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



Meet the Event Chairs

Prof. Dr. Vera Tomazella
Prof. Dr. Vera Tomazella
Department of Statistics, Federal University of São Carlo, Brazil
Dr. Danilo Alvares
Dr. Danilo Alvares
MRC Biostatistics Unit, University of Cambridge, UK; Institute of Mathematical and Computer Sciences, University of São Paulo, Brazil

Meet Our Speakers

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Dr. Janet Van Niekerk

Dr. Janet Van Niekerk

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.

Dr. Agatha Rodrigues

Dr. Agatha Rodrigues

Department of Statistics, Federal University of Paraíba, Brazil;
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.

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