International Day Of Women in Statistics and Data Science: Full Schedule

Registration opens August 15th at www.idwsds.org.

You will be able to validate your attendance (Check-In to sessions) using your personal schedule.

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07:00 UTC

Tuesday October 6, 2026 07:00 - 08:00 UTC

Observation-Weight-Based Strategies for Robust Stochastic Gradient Boosting in Genomic Prediction | A journey of pivoting: From Local Research Experiences to Global Data Science Connections | Teaching Statistics in the Age of AI: Beyond Calculation in Health Sciences Education

Speakers

Beatriz Gil Comparado

FCTNOVA Math

Beatriz Gil Comparado is pursuing a Master's degree in Mathematics and Applications – Specialization in Data and Decision Sciences at NOVA School of Science and Technology (NOVA FCT), Portugal. Her research focuses on statistical methodology and machine learning, with particular... Read More →

Cherlynn Dumbura

CeSHHAR

Cherlynn Dumbura is a Zimbabwean data scientist and health researcher working across climate-health, maternal and newborn health, statistics and research. She is a board member of Applied Malaria Modeling network and in the leadership of International Biometric Society, Zimbabwean... Read More →

Camila Martins

Associate Professor

Camila Bertini Martins is an Associate Professor at the Federal University of São Paulo (UNIFESP), Brazil, where she teaches Biostatistics in health sciences programs. She holds a PhD in Statistics from the University of São Paulo (USP). Her research interests include meta-analysis... Read More →

Organizers

IDWSDS Program Committee

IDWSDS

S302 Abstracts pdf

Tuesday October 6, 2026 07:00 - 08:00 UTC
Zoom Room #3

Contributed Session, Technical Statistical Session, Career or Professional Development Session, Other

Country Portugal, Zimbabwe, Brazil
Session ID 302

23:00 UTC

K6 - Connecting Cure Models and Women’s Health: Survival Analysis for Uterine Cancer Data

Tuesday October 6, 2026 23:00 - Wednesday October 7, 2026 00:00 UTC

Zoom Room #1

Survival analysis plays a fundamental role in health research, especially when the objective is to understand not only the time until an event occurs, but also the possibility that a proportion of individuals may never experience that event. This
situation is particularly relevant in cancer studies, where long-term survivors may be considered cured or no longer susceptible to recurrence or death related to the disease.

In this talk, I will present statistical modeling approaches based on cure models, with emphasis on their application to uterine cancer data. The discussion is motivated by my work on regression modeling for cure factors using the reparametrized defective generalized Gompertz distribution. This framework allows the estimation of both survival behavior and cure proportions, providing a flexible tool for analyzing time-to-event data in the presence of a cured fraction.

The presentation will highlight how cure models can contribute to women’s health research by identifying factors associated with long-term survival and by offering interpretable measures for clinical and epidemiological studies. By connecting statistical theory, survival analysis, and real health data, this work illustrates how statistical science can support evidence-based understanding of cancer outcomes and strengthen global connections between data science and public health.

Speakers

Vera Tomazella

Universidade Federal de São Carlos

Professor Vera Lucia Damasceno Tomazella is a Full Professor and Senior Professor at the Federal University of São Carlos (UFSCar), Brazil, affiliated with the Department of Statistics. She holds a degree in Mathematics from the Federal
University of Maranhão, a Master’s degre... Read More →

Organizers

IDWSDS Program Committee

IDWSDS

Tuesday October 6, 2026 23:00 - Wednesday October 7, 2026 00:00 UTC
Zoom Room #1

Keynote Session

Country Brazil
Session ID K6

International Day Of Women in Statistics and Data Science

07:00 UTC

Beatriz Gil Comparado

Cherlynn Dumbura

Camila Martins

IDWSDS Program Committee

23:00 UTC

Vera Tomazella

IDWSDS Program Committee

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