Conference Agenda

Proximal indirect comparison

Zehao Su, Helene Rytgaard, Henrik Ravn, Frank Eriksson

Selection bias of cause-specific hazard ratios: the impact of competing events

Mari Brathovde, Morten Valberg, Hein Putter, Richard A.J. Post

qbaconfound: A flexible Monte Carlo probabilistic bias analysis to unmeasured confounding

Emily Kawabata, Chin Yang Shapland, Tom Palmer, David Carslake, Kate Tilling, Rachael Hughes

Selection bias due to omitting interactions from inverse probability weighting

Liping Wen, Kate Tilling, Rosie Cornish, Rachael Hughes, Apostolos Gkatzionis

External reproduction of a proxy-based causal model estimating average survival effects of sequential vs concurrent chemo-radiotherapy in stage III NSCLC

Charlie Cunniffe, Wouter van Amsterdam, Matthew Sperrin, Rajesh Ranganath, Fiona Blackhall, Gareth Price

Precision Of Treatment Hierarchy: A Metric for Quantifying Certainty in Treatment Hierarchies from Network Meta-Analysis

Augustine Wigle, Audrey Béliveau, Georgia Salanti, Gerta Rücker, Guido Schwarzer, Dimitris Mavridis, Adriani Nikolakopoulou

Extending P-Scores for Ranking Diagnostic Tests in Network Meta-Analysis

Sofia Tsokani, Fani Apostolidou-Kiouti, Adriani Nikolakopoulou, Areti-Angeliki Veroniki, Anna-Bettina Haidich, Dimitris Mavridis

Resolving conflicting treatment hierarchies across multiple outcomes in multivariate network meta-analysis

Theodoros Evrenoglou, Anna Chaimani, Guido Schwarzer

A novel approach for modelling components of complex interventions in network meta-analysis

Tianqi Yu, Anna Chaimani

The impact of using different random effects models in meta-analysis

KANELLA PANAGIOTOPOULOU, SOODABEH BEHBOODI, JENNIFER ZEITLIN, ANNA CHAIMANI

A Bayesian model for surrogate endpoint evaluation in mixed biomarker patient populations

Lorna Sophie Kate Wheaton, Stephanie Hubbard, Sandro Gsteiger, Sylwia Bujkiewicz

Extending Bayesian Causal Forests for Longitudinal Data Analysis: A Case Study in Multiple Sclerosis

Emma Prevot, Thomas E. Nichols, Chris Holmes, Habib Ganjgahi

A Bayesian framework for measuring the information cost of interim decisions in group sequential trials

Gianmarco Caruso, William F. Rosenberger, Pavel Mozgunov, Nancy Flournoy

Bayesian semiparametric modelling of biomarker variability in joint models for longitudinal and survival data

Sida Chen, Marco Palma, Barrett Jessica

Bayesian analysis of the causal reference-based model for missing data in clinical trials

Brendah Nansereko, Marcel Wolbers, James Carpenter, Jonathan Bartlett

Flexible parametric additive hazards regression for modeling excess mortality in pandemics

Liesbeth C de Wreede, Marina T Dietrich, Ilaria Prosepe, Hein Putter, Mar Rodriguez-Girondo

Parameter Estimation in Compartmental Epidemic Models with Heterogeneity in Susceptibility

Yuwen Ding, Jacco Wallinga, Hein Putter

Unobserved intermediate events in multi-state models in a pandemic setting

Ilaria Prosepe, Hein Putter, Mar Rodriguez-Girondo, Liesbeth C. de Wreede

Controlled vaccine efficacy using a joint model for sparse immunological data and time-to-disease.

Grigorios Papageorgiou, Silvia Noirjean, Toufik Zahaf, Andrea Callegaro

Infectious Disease Estimands That Are Insensitive to Interference

Mats Stensrud

How to quantify between-study heterogeneity in single-arm evidence synthesis

Ulrike Held, Lea Bührer, Beatrix Latal, Stefania Iaquinto

Bayesian random-effects meta-analysis with empirical heterogeneity priors for HTA applications in the situation of very few studies

Ralf Bender, Jona Lilienthal, Sibylle Sturtz, Christian Röver, Tim Friede

Assessing inconsistency in flexible meta-regression using network meta analysis

Marc Angelo Parsons, Andrea Benedetti, Russell Steele

Illuminating the Assumptions of Meta-Regression in Treatment Networks

Nana-adjoa Kwarteng, Theodoros Evrenoglou, Adriani Nikolakopoulou

Transitivity in Network Meta-Analysis: A Formal Framework and Practical Implications

Noosheen Rajabzadeh Tahmasebi, Ian White, Georgia Salanti, Efthimiou Orestis, Adriani Nikolakopoulou

Predicting Prediction Performance

Max Westphal, Rieke Alpers

Predictive modelling with block missingness

Viktor Racinskij, Robin Mitra, Chris Harbron, Niels Hagenbuch

Lifestyle Predictors of All-Cause Mortality: Enhancing Risk Models Beyond Traditional Biomarkers

Yuhe Wang, Cameron Razieh, Thomas Yates

Development and validation of the Options model, a clinical prediction model predicting risk of emergency caesarean births in nulliparous women

Alexandra Hunt

Optimizing Dynamic Predictions from Joint Models using Super Learning

Dimitris Rizopoulos, Jeremy M.G. Taylor

Declaring Doses as Safe in Ongoing Oncology Dose-Escalation Trials: Are They Truly Safe? A Critical Assessment of Safety Criteria

Stefan Englert, Thomas J. Prior, Anirban Mitra, Busola Sanusi, Liangcai Zhang, Lilla Di Scala

Guiding Phase I Dose Escalation for Modern Oncology Therapies: Tackling (Informative) Dropout with Bayesian Multi-Cycle Time-to-Event Models

Lukas Andreas Widmer, Sebastian Weber

Potential Responses and the Order of Patient Inclusion in Early-Phase Sequential Trials.

Meliha Akouba, Matthieu Clertant, Alexia Iasonos, John O'quigley

How best to allocate backfill patients in dose-finding oncology trials: a methodological review & simulation studies assessing best performance

Elli Bourmpaki, Helen Barnett, Oliver Boix, Hakim-Moulay Dehbi

Dose optimisation in early phase oncology trials - backfill and expansion cohorts

James Willard, Thomas Jaki, Burak Kürsad Günhan, Christina Habermehl, Anja Victor, Pavel Mozgunov

Adapting existing sample size calculations for developing risk prediction models to control for model stability

Gareth Ambler, Menelaos Pavlou, Rumana Z Omar

Optimal Methods for Handling Continuous Predictors in Clinical Prediction Model Development: Balancing Flexibility and Stability

Phichayut Phinyo, Pakpoom Wongyikul, Noraworn Jirattikanwong, Natthanaphop Isaradech, Wachiranun Sirikul, Wuttipat Kiratipaisarl, Noppadon Seesuwan, Suppachai Lawanaskol

Do Stable Performance Metrics Guarantee Stable Model Predictions?

Natthanaphop Isaradech, Phichayut Phinyo, Wuttipat Kiratipaisarl, Pakpoom Wongyikul, Noraworn Jirattikanwong, Wachiranun Sirikul

The Imbalance Dilemma: Can Class Imbalance Corrections Stabilize Clinical Prediction Models?

Wachiranun Sirikul, Natthanaphop Isaradech, Wuttipat Kiratipaisarl, Phichayut Phinyo, Pakpoom Wongyeekul, Noraworn Jirattikanwong

Prediction with Logistic Regression in Binary Class Imbalance: comparing re-sampling techniques with threshold probability assignment under varying predictive covariates

Henk van der Pol, Ragnhild Sørum Falk, Marta Fiocco, Arnoldo Frigessi, Euloge Clovis Kenne Pagui