6th CEN Conference

Session

Evidence synthesis 1

21 May 2026, 10:45

Room 14

Conveners

Evidence synthesis 1

• Willi Sauerbrei (University of Freiburg)

84. Parametric nonlinear dose-response meta regression

Christian Ritz (National Institute of Public Health (SDU))

21/05/2026, 10:45

oral presentation

In epidemiology dose-response meta analysis often refers to fitting a meta regression model that describes a linear trend in the outcome ("response") as a function of the exposure ("dose"), based on aggregated data from a number of studies.

Fixed- and random-effects extensions for handling nonlinear dose-response for odds ratios, relative risks and differences in means through the use of...

87. Meta-analyses based on previous meta-analyses

Christian Röver (Department of Medical Statistics, University Medical Center Göttingen)

21/05/2026, 11:03

oral presentation

Updating a meta-analysis (MA) by including additional studies is usually a straightforward exercise, as the relevant data are commonly reported in detail, i.e., effect estimates with standard errors for all studies. Matters are complicated, however, when only the summary of a previous analysis is available, i.e., the overall estimate with standard error. For instance, this is sometimes the...

1. Proper Back-Transformations for the Random-Effects Model in Meta-Analysis

Jan-Bernd Igelmann (TU Dortmund University)

21/05/2026, 11:21

oral presentation

Meta-analyses often involve transforming bounded effect size measures, such as correlation coefficients or odds ratios, onto a real-valued scale prior to estimation. The results are then back-transformed to the original scale for interpretation purposes. However, in the standard random effects model for meta-analysis, simply applying the inverse transformation function generally does not yield...

200. Bayesian conjugate analysis for federated statistical inference

Peter Degen (Center for Reproducible Science and Research Synthesis, University of Zurich)

21/05/2026, 11:39

oral presentation

In many biomedical research settings, sufficiently large sample sizes can only be achieved by combining data from multiple collection sites (e.g., hospitals). However, pooling individual participant data in a central server is often restricted due to privacy and regulatory constraints. Federated inference addresses this challenge by distributing the statistical analysis across local sites,...

59. Evaluating Nonparametric Combination Methods for Aggregating N-of-1 Trials: A Simulation-Based Comparison with Meta-Analysis

Anna Eleonora Carrozzo (Salzburg Research, Austria / Paris Lodron University of Salzburg, Austria)

21/05/2026, 11:57

oral presentation

Title:
Evaluating Nonparametric Combination Methods for Aggregating N-of-1 Trials: A Simulation-Based Comparison with Meta-Analysis

Abstract:
Aggregating results from multiple N-of-1 trials has become increasingly relevant for evaluating personalized and digital health interventions, where inter-individual heterogeneity and complex temporal structures challenge traditional study designs....