Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|
Session Overview | |
Location: Wolfgang-Paul-Saal Ground floor Uniclub Bonn |
Date: Wednesday, 19/Mar/2025 | |
9:00am - 9:15am |
Welcome Location: Wolfgang-Paul-Saal Chair: Alina Schenk Chair: Matthias Schmid |
9:15am - 10:15am |
Epidemiology Location: Wolfgang-Paul-Saal Chair: Benjamin Aretz Risk Prediction using Case-Cohort Samples: A Scoping Review and Empirical Comparison 9:35am - 9:55am Implication of the choice of time scales in survival analysis 9:55am - 10:15am Leveraging Cancer Incidence for Lead Time Estimation in Cancer Screening Programmes |
10:35am - 11:35am |
Dynamic prediction models Location: Wolfgang-Paul-Saal Chair: Anders Munch Capturing subgroup-specific time-variation in covariate effects in Cox-type hazard regression models 10:55am - 11:15am Dynamic Prediction of Survival Benefit to Inform Liver Transplant Decisions in Hepatocellular Carcinoma 11:15am - 11:35am Dynamic prediction with numerous longitudinal predictors: how to combine the best of both worlds (landmarking and joint modelling) through penalized regression calibration |
11:45am - 12:45pm |
Keynote I: Morten Overgaard Location: Wolfgang-Paul-Saal Chair: Alina Schenk Regression analysis with jack-knife pseudo-observations |
1:45pm - 2:25pm |
Pseudo-observations Location: Wolfgang-Paul-Saal Chair: Alina Schenk Bootstrap-based inference for Pseudo-value regression models 2:05pm - 2:25pm Implications of Pseudo-Observations in Prognostic Modelling: Addressing Left Truncation. |
Date: Thursday, 20/Mar/2025 | |
8:30am - 9:50am |
High-dimensional survival analysis and machine learning Location: Wolfgang-Paul-Saal Chair: Thomas Welchowski Estimation and variables selection in a joint model of survival times and longitudinal data with random effects 8:50am - 9:10am Sign-flip test for coefficients in the Cox regression model 9:10am - 9:30am Targeted learning with right-censored data using the state learner 9:30am - 9:50am Deep Learning for Survival Analysis: A Review |
10:15am - 11:35am |
Cure models Location: Wolfgang-Paul-Saal Chair: Marta Cipriani Copula based dependent censoring in cure models with covariates 10:35am - 10:55am Testing the effect of multiple covariates on cure rates in mixture cure models based on distance correlation 10:55am - 11:15am The sicure R package: single-index mixture cure models 11:15am - 11:35am Testing for sufficient follow-up in survival data with covariates |
11:45am - 12:45pm |
Keynote II: Nan van Geloven Location: Wolfgang-Paul-Saal Chair: Matthias Schmid Causal prediction of time-to-event outcomes |
1:45pm - 3:05pm |
Causality Location: Wolfgang-Paul-Saal Chair: Yujun Xu Robust estimation of occupation probabilities of latent multi-state processes 2:05pm - 2:25pm Interventional dynamic updating of prognostic survival models in a pandemic environment 2:25pm - 2:45pm Surviving your PhD: an analysis of time to completion data 2:45pm - 3:05pm A "what if" - interpretation of the Kaplan-Meier estimator and, in general, no such interpretation for competing risks |
3:05pm - 3:35pm |
Coffee Break Location: Wolfgang-Paul-Saal |
3:35pm - 4:55pm |
Pharmaceutical statistics and clinical trials Location: Wolfgang-Paul-Saal Chair: Sam Doerken A non-parametric proportional risk model to assess a treatment effect in an application to randomized controlled trials 3:55pm - 4:15pm Exhausting the type I error level in a group-sequential design with a closed testing procedure for progression-free and overall survival 4:15pm - 4:35pm Sample size calculation based on differences of quantiles from right-censored data 4:35pm - 4:55pm One-sample survival tests for non-proportional hazards in oncology clinical trials: a simulation study |
Date: Friday, 21/Mar/2025 | |
8:30am - 9:50am |
Parametric regression models Location: Wolfgang-Paul-Saal Chair: David Köhler A “Double Copula” Model for Semi-Competing Risks Data 8:50am - 9:10am Incorporation of a mixture distribution on frailty regression model for clustered survival data 9:10am - 9:30am Comparing a time-to-event endpoint in a two-arm trial investigating personalized treatment 9:30am - 9:50am R-package discSurv: A Toolbox for Discrete Time Survival Analysis |
10:15am - 11:35am |
Competing risks and multistate models Location: Wolfgang-Paul-Saal Chair: Pedro Miranda Afonso Extending the Vertical Model: an alternative approach to Competing Risks with clustered data 10:35am - 10:55am Patient Disposition in Clinical Trials: Addressing Competing Risks with Stacked Probability and Proportion Plots 10:55am - 11:15am Discrimination performance in illness-death models with interval-censored disease data 11:15am - 11:35am Transitions, Sojourns, and Bias: Simulation Insights for Transplant Strategies in Leukemia |
11:45am - 12:45pm |
Keynote III: Dennis Dobler Location: Wolfgang-Paul-Saal Chair: Kathrin Möllenhoff Resampling options in survival and event history analysis |
12:45pm - 1:00pm |
Closing Remarks Location: Wolfgang-Paul-Saal Chair: Matthias Schmid Chair: Alina Schenk |
Contact and Legal Notice · Contact Address: Privacy Statement · Conference: SAfJR 2025 |
Conference Software: ConfTool Pro 2.8.105 © 2001–2025 by Dr. H. Weinreich, Hamburg, Germany |