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34 papers · 1 filter
Prior-Data Fitted Networks for Causal Inference: a Simulation Study with Real-World Scenarios
Francisco Mourao, David Hajage, Daria Bystrova +4
Prior-Data Fitted Networks (PFNs) represent a paradigm shift in tabular data prediction. We present the principles of this new paradigm and evaluate two PFNs for estimating the ave…
Straightforward Phase I Dose-Finding Design for Healthy Volunteers Accounting for Surrogate Activity Biomarkers
Sandrine Boulet, Emmanuelle Comets, Antoine Guillon +5
Conventionally, a first-in-human phase I trial in healthy volunteers aims to confirm the safety of a drug in humans. In such situations, volunteers should not suffer from any safet…
Bayesian generalized method of moments applied to pseudo-observations in survival analysis
Léa Orsini, Caroline Brard, Emmanuel Lesaffre +3
Bayesian inference for survival regression modeling offers numerous advantages, especially for decision-making and external data borrowing, but demands the specification of the bas…
Estimating Disease-Free Life Expectancy based on Clinical Data from the French Hospital Discharge Database
Oleksandr Sorochynskyi, Quentin Guibert, Frédéric Planchet +1
The development of health indicators to measure healthy life expectancy (HLE) is an active field of research aimed at summarizing the health of a population. Although many health i…
Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data
Florie Bouvier, Etienne Peyrot, Alan Balendran +4
Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which allows the development of individualized treatment rules (ITRs). Many machine lear…
Analysis of the 24-Hour Activity Cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought (ACT) Study
Yinxiang Wu, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman +7
The 24-hour activity cycle (24HAC) is a new paradigm for studying activity behaviors in relation to health outcomes. This approach captures the interrelatedness of the daily time s…