Conference Agenda

Audrey Te-ying Yeo, Alessandro Gasparini, Daniel Sabanés Bové

Audrey Te-ying Yeo, Alessandro Gasparini, Daniel Sabanés Bové

Audrey Te-ying Yeo, Alessandro Gasparini, Daniel Sabanés Bové

Audrey Te-ying Yeo, Alessandro Gasparini, Daniel Sabanés Bové

Utility-based optimization of basket trials

Lukas D Sauer, Alexander Ritz, Michaela Maria Freitag, Meinhard Kieser

A frequentist approach to dynamic borrowing

Ray Lin, Ruilin Li, Jiangeng Huang, Lu Tian, Jiawen Zhu

A Power Prior Based Basket Trial Design for Unequal Sample Sizes

Sabrina Schmitt, Lukas Baumann

Borrowing information in basket trials with different clinical outcomes via a common intermediate outcome

Svetlana Cherlin, James M S Wason

Robust external information borrowing in hybrid-control clinical trial designs

Silvia Calderazzo, Manuel Wiesenfarth, Vivienn Weru, Annette Kopp-Schneider

Inference on sustained treatment strategies, with a case study on young women with breast cancer

Elise Dumas, Floriane Jochum, Florence Coussy, Anne-Sophie Hamy, Sophie Houzard, Christine Le Bihan-Benjamin, Fabien Reyal, Paul Gougis, Mats Julius Stensrud

An overlooked bias in target trial emulations and how to fix it

Lorenzo Gasparollo, Mats Stensrud

Model-free estimands for target trial analysis

Edoardo Efrem Gervasoni, Oliver Dukes, Stijn Vansteelandt

Target trial emulation: optimising methods for estimating treatment effects using data from the UK Cystic Fibrosis Registry

Emily Granger, Lorna Allen, Susan Charman, Sarah Clarke, Gwyneth Davies, Freddy Frost, Laurie Tomlinson, Ruth Keogh

Target Trials and Structural Nested Models: Emulating RCTs using Observational Longitudinal Data

Oliver Dukes, Fuyu Guo, Mats Stensrud, James Robins

A systematic review of variable and functional form selection methods used in Covid-19 prognostic models

Michael Kammer, Marc Y. R. Henrion, Gregor Buch, Georg Heinze

Robust and Flexible Extension of M-quantile Regression with Adaptive Class of Regularization

Iftikhar Ahmed Shovon, Md Hasinur Rahaman Khan

Robust standard errors for coefficients of selected and unselected predictors after variable selection for binary outcomes

Nilufar Akbari, Ulrike Grittner, Georg Heinze

The “multi-performance plot” in simulation studies: a compact visualisation of up to seven performance measures comparing multiple statistical methods

Wang Pok Lo

What is the impact of increasing numbers of auxiliary variables for an explanatory variable in imputation models?

Paul Madley-Dowd, Rheanna Mainzer, Samantha Ip, Alexia Sampri, Carmen Petitjean, Jonathan Sterne, Katherine Lee, Tim Morris, Angela Wood, Kate Tilling

Causal machine learning methods for dynamic and static treatment strategies deprescribing medications in a polypharmacy population using electronic health records.

Maurice M O'Connell, Michael Abaho, Aseel S Abuzour, Matin Ahmed, Saiqa Ahmed, Asra Aslam, Danushka Bollegala, Iain Buchan, Harriet Cant, Andrew Clegg, Mark Gabbay, Alan Griffiths, Layik Hama, Francine Jury, Gary Leeming, Emma Lo, Frances S Mair, Simon Maskell, Erin McCloskey, Olusegun Popoola, Samuel Relton, Roy A Ruddle, Pieta Schofield, Eduard Shantsila, Tjeerd Van Staa, Lauren E Walker, Samantha A Wilson, Alan A Woodall, Rachael Wright, Matthew Sperrin

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling

David Svensson, Erik Hermansson, Konstantinos Sechidis, Nikos Nikolaou, Ilya Lipkovich

Signpost testing to navigate the high-dimensional parameter space of the linear regression model

Wessel van Wieringen

Leveraging Influence Functions for Statistical Inference in R

Klaus Holst

Optimal testing for the presence of conditional average treatment effects

Feng Liang, Kelly Van Lancker, Stijn Vansteelandt

Performance evaluation of dimensionality reduction techniques on high-dimensional DNA methylation data

Kuldeep Kumar Sharma, Binukumar B, Binu V. S, Thirumoorthy Chinnasamy, Gokulakrishnan K, Saravanan P, Mohan V

Deep Generalised Mixed Effects Models: a Novel General Neural Network Structure for Analysing Hierarchical Data

Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers, Loes Keijsers, Sten Willemsen

Adapting transformer neural networks for longitudinal data with few time points

Kiana Farhadyar, Harald Binder

Distinguishing subgroup and site-specific heterogeneity in multi-site prognostic models using a neural network representation

Max Behrens, Daiana Stolz, Eleni Papakonstantinou, Janis M. Nolde, Gabriele Bellerino, Moritz Hess, Harald Binder

Unraveling Breast Cancer Genetic Risk in Chinese Women: Integrating GWAS, Fine-Mapping, and Machine Learning in the China Kadoorie Biobank

Shizhe Xu, Christiana Kartsonaki, Kuang Lin, Kyriaki Michailidou

Asymmetric Shapley values to quantify the importance of genomic variables in clinical prediction studies

Mark van de Wiel

Fused Estimation of Varying Omics Effects for Clinico-genomic Data

Jeroen Goedhart, Mark van de Wiel, Wessel van Wieringen, Thomas Klausch

Random forests using longitudinal predictors

Justine Remiat, Cécile Proust-Lima, Robin Genuer

Digital Twins you can ‘count’ on: a novel application of digital-twin prognostic scores in Negative-Binomial models.

Tasos Papanikos, Doug Thompson, Harry Parr, Aris Perperoglou

Calibrating machine learning approaches for probability estimation in case of the absence of calibration data

Eleonora Di Carluccio, Giorgos Koliopanos, Francisco Ojeda, Christian Weimar, Andreas Ziegler

Establishing when to use causal machine learning for conditional average treatment effect estimation in randomised controlled trials using simulation

Eleanor Van Vogt, Suzie Cro, Karla Diaz-Ordaz

Variable selection in Causal Survival Analysis

Charlotte Voinot, Julie Josse, Bernard Sebastien

An Overlooked Stability Property of the Risk Ratio and Its Practical Implications

Marco Piccininni, Mats J. Stensrud

Introducing an open access simulated benchmarking data resource to enable assessment and neutral comparison of causal inference methods

Ruth Keogh, Nan van Geloven, Daniala Weir

Simulating data from marginal structural models for a survival time outcome

Shaun Seaman, Ruth Keogh

The causal effect of gold standard midwifery staffing on the occurrence of spontaneous vaginal births – A target trial emulation

Luisa Eggenschwiler, Valerie Smith, Michael Simon, Giusi Moffa

A new encoding of time-varying treatment regimes for the study of sequential per-protocol effects

Ignacio Gonzalez-Perez, Mats Julius Stensrud

Optimal sequential decision-making with initiation regimes

Julien David Laurendeau, Aaron Leor Sarvet, Mats Julius Stensrud

Evaluating the effect of lung transplantation: a case study in sequential emulated trials with time varying confounding

Iqraa Meah, Fançois Petit, Raphaël Porcher

Unraveling time-varying causal effects of multiple exposures: a novel approach integrating Functional Data analysis into the multivariable Mendelian Randomization framework

Nicole Fontana, Piercesare Secchi, Emanuele Di Angelantonio, Francesca Ieva