5 papers
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
Jonas Arruda, Sophie Chervet, Paula Staudt +6
Selection bias arises when the probability that an observation enters a dataset depends on variables related to the quantities of interest, leading to systematic distortions in est…
Temporal Trends in Incidence of Dementia in a Birth Cohorts Analysis of the Framingham Heart Study
Paula Staudt, Anika Schlosser, Annika Möhl +2
Background: Dementia leads to a high burden of disability and the number of dementia patients worldwide doubled between 1990 and 2016. Nevertheless, some studies indicated a decrea…
Testing similarity of competing risks models by comparing transition probabilities
Zoe Kristin Lange, Maryam Farhadizadeh, Holger Dette +1
Assessing whether patient populations exhibit comparable event dynamics is important for evaluating treatment equivalence, pooling cohorts and comparing clinical pathways. Existing…
Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
Jan Kapar, Kathrin Günther, Lori Ann Vallis +27
Synthetic data hold substantial potential to address practical challenges in epidemiology due to restricted data access and privacy concerns. However, many current methods suffer f…
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
Kathrin Möllenhoff, Nadine Binder, Holger Dette
The identification of similar patient pathways is a crucial task in healthcare analytics. A flexible tool to address this issue are parametric competing risks models, where transit…