Assurance methods for designing a clinical trial with a delayed treatment effect

James Salsbury, Jeremy Oakley, Steven Julious, Lisa Hampson

Investigating the most suitable modelling framework to predict long-term restricted mean survival time and life expectancy.

Hannah Louise Cooper, Mark Rutherford, Sarah Booth

Methods for Analyzing Multiple Time-to-Event Endpoints in Randomized Clinical Trials: A Comprehensive Overview

Duoerkongjiang Alidan, Ann-Kathrin Ozga

Reconstructing Survival Curves: Using imputation Strategies to construct Kaplan-Meier Estimates with no or limited Data on Survivors

Luzia Berchtold, Thierry Gorlia, Marjolein Geurts, Michael Weller, Matthias Preusser, Franz König

A Pareto-Driven Ensemble Feature Selection Approach Optimizes Biomarker Discovery in Multi-omics Pancreatic Cancer Studies

John Zobolas, Anne-Marie George, Alberto López, Sebastian Fischer, Marc Becker, Tero Aittokallio

Increasing flexibility for the meta-analysis of full ROC curves – a copula approach

Ferdinand Valentin Stoye, Oliver Kuss, Annika Hoyer

Effective sample size for Cox models: A measure of individual uncertainty in survival predictions

Toby Hackmann, Doranne Thomassen, Saskia le Cessie, Hein Putter, Ewout W Steyerberg, Liesbeth C de Wreede

Imputation Free Deep Survival Prediction using Conditional Variational Autoencoders

Natalia Hong, Christopher Yau

Building risk prediction models by synthesizing national registry and prevention trial data

Oksana Chernova, Donna Ankerst

An R function for data preparation for an acyclic multistate model with non-ordered intermediate states.

Lorenzo Del Castello, Davide Bernasconi, Laura Antolini, Maria Grazia Valsecchi

A Pragmatic Approach to the Estimation of the Interventional Absolute Risk in Continuous Time

Johan Sebastian Ohlendorff, Thomas Alexander Gerds, Anders Munch

Testing the Similarity of Healthcare Pathways based on Transition Probabilities - A New Bootstrap Procedure

Zoe Kristin Lange, Holger Dette, Maryam Farhadizadeh, Nadine Binder

Introducing a flexible model for regression models with a left-censored response and covariate.

Inez De Batselier, Roel Braekers

Extending landmarking to mixture cure models with time-varying covariates

Marta Cipriani

Multi-state models for individualized treatment response prediction and risk assessment in Multiple Myeloma

Sebastian Schwick, Shammi More, Holger Fröhlich

Bayesian Joint Modeling of Bivariate Longitudinal and Time-to-Event Data: With Application of Micro and Macro Vascular Complication in People with Type 2 Diabetes and Hypertension.

Mequanent Mekonen, Edoardo Otranto, Angela Alibrandi

Does a SARS-CoV-2 infection increase the risk of dementia? An application of causal time-to-event analysis on real-world patient data

Jannis Guski, Holger Fröhlich

Do commonly used Machine Learning implementations allow for IPCW to address censoring? A closer look at scikit-learn.

Lukas Klein, Gunter Grieser, Henrik Stahl, Antje Jahn

Combining machine learning methods for subgroup identification in time-to-event data with approximate Bayesian computation for bias correction

Henrik Stahl, Lukas Klein, Gunter Grieser, Antje Jahn, Heiko Götte

Planning early-phase clinical trials in oncology: A comprehensive simulation approach for Response, Progression-Free Survival, and Overall Survival

Udeerna Ippagunta, Heiko Götte

CORALE project: Cumulative lifetime multi-exposures to ionising radiation and other risk factors and associations with chronic diseases in the CONSTANCES cohort

Justine Sauce, Sophie Ancelet, Corinne Mandin, Philippe Renaud, Jean-Michel Métivier, Abdulhamid Chaikh, Eric Blanchardon, David Broggio, Claire Gréau, Caroline Vignaud, Marie-Odile Bernier, Enora Cléro, Marcel Goldberg, Christelle Huet, Stéphane Le Got, Emeline Lequy-Flahault, Aurélie Isambert, Afi Mawulawoe Sylvie Henyoh, Géraldine Ielsh, Célian Michel, Choisie Mukakalisa, Mireille Cœuret-Pellicer, Hervé Roy, Céline Ribet, Lionel Saey, Marie Zins, Olivier Laurent

Modeling the early-redemption of fixed interest rate mortgages: a survival analysis approach

Leonardo Perotti, Lech A Grzelak, Cornelis W Oosterlee

Bootstrapping LASSO-type estimators in Cox Frailty Models

Lena Schemet

A Nonparametric Bayesian Approach for High-Dimensional Causal Effect Estimation in Survival Analysis

Tijn Jacobs, Wessel van Wieringen, Stéphanie van der Pas

Comparison of the Prognostic Performance of Machine Learning Algorithms on Gene Expression Data in Acute Myeloid Leukemia

Adriana Blanda, Sara Pizzamiglio, Sabina Sangaletti, Paolo Verderio

Double-truncated and censored corporate lifetimes: Likelihood and identification.

Fiete Sieg

Enhancing Healthcare Understanding from Clinical Routine Data by Simplifying the Representation of Treatment Pathways

Maryam Farhadizadeh, Zoe Lange, August Sigle, Holger Dette, Harald Binder, Nadine Binder

Improving Cox Regression Estimates by Using the Stochastic Approximation Expectation-Maximization Algorithm to Handle Missing Data

Eliz Peyraud, Julien Jacques, Guillaume Metzler

Life expectancies and blood-based biomarkers for Alzheimer’s disease in primary care

Luca Kleineidam, Pamela Martino-Adami, Selcuk Oezdemir, Michael Wagner, Alfredo Ramirez, Anja Schneider, for the AgeCoDe study group

Propagator Methods for Survival Analysis

Julian Schlecker, Ina Kurth, Wahyu Wijaya Hadiwikarta

Machine Learning for Survival Analysis: Predicting Time-to-Event Through Decomposition

Lubomír Štěpánek

A Machine Learning Approach for Comparing Multiple Survival Curves: Random Forests with Reduced Assumption Dependency

Lubomír Štěpánek

Principled estimation and prediction with competing risks: a Bayesian nonparametric approach

Claudio Del Sole, Antonio Lijoi, Igor Prünster

Prediction Stability of Survival Models

Sara Matijevic, Christopher Yau