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.

20:00 UTC

S410 - Statistical Inference with Incomplete Data

Tuesday October 6, 2026 20:00 - 21:00 UTC

Incomplete data arise in many scientific fields and present major challenges for modern statistical methodology. Missing values, censoring, and selection bias may substantially affect estimation, hypothesis testing, prediction, and the generalizability of scientific findings. Developing statistical methods that appropriately account for these sources of incompleteness is therefore essential for obtaining reliable conclusions. This session brings together recent methodological advances addressing different aspects of statistical inference with incomplete data. Topics include assessing the generalizability of randomized controlled trials through a sensitivity analysis framework for selection bias, evaluating modern imputation methods for recovering the underlying data distribution, independence testing for high-dimensional incomplete data, and nonparametric testing for censored survival data. Together, these contributions provide complementary perspectives on the analysis of incomplete data and demonstrate how principled statistical methodology can improve inference across a broad range of applications.

Speakers

Rebecca Andridge

Professor, The Ohio State University

Rebecca Andridge is a Professor of Biostatistics at The Ohio State University College of Public Health. She conducts methodologic work on imputation methods for missing data, primarily when missingness is driven by the missing values themselves (missing not at random), and on measures... Read More →

Krystyna Grzesiak

University of Wrocław, Faculty of Mathematics and Computer Science

Krystyna Grzesiak is a PhD candidate at the Institute of Mathematics, University of Wrocław. She conducts research on developing machine learning methods for the analysis of proteomic and metabolomic data.

Bojana Milošević

Faculty of Mathematics, University of Belgrade

Bojana Milošević is an Associate Professor and Head of the Department of Probability and Statistics at the Faculty of Mathematics, University of Belgrade. Her research interests include nonparametric statistics, statistical hypothesis testing, survival analysis, dependence analysis... Read More →

Anke Steyn

North-West University

Anke Steyn is a lecturer at the North-West University in Potchefstroom, South Africa. Her research interests include survival analysis, goodness-of-fit testing and experimental design. She qualified as an actuary and recently completed her doctoral degree in Statistics. Her great... Read More →

Chairs/Hosts

Marija Cuparić

Organizers

Marija Cuparić

S410 Abstracts pdf

Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #4

Invited Session, Technical Statistical Session

Session ID 410

International Day Of Women in Statistics and Data Science

20:00 UTC

Rebecca Andridge

Krystyna Grzesiak

Bojana Milošević

Anke Steyn

Marija Cuparić

Marija Cuparić

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