3 papers
stat.ME2026
Assessing covariate-adjusted risk differences in small-sample clinical trials
Martin Schnuerch, Alex Ocampo, Klaus Kähler Holst +1
Binary endpoints are common in clinical trials and conditional odds ratios have traditionally been used to assess treatment effects. However, the interpretation of odds ratios is d…
q-bio.NC2024
Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application
Lukas Schumacher, Martin Schnuerch, Andreas Voss +1
Cognitive processes undergo various fluctuations and transient states across different temporal scales. Superstatistics are emerging as a flexible framework for incorporating such…
stat.ML2023
A Deep Learning Method for Comparing Bayesian Hierarchical Models
Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner +1
Bayesian model comparison (BMC) offers a principled approach for assessing the relative merits of competing computational models and propagating uncertainty into model selection de…