4 papers
MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions
Hui Min Wong, Philip Heesen, Pascal Janetzky +2
Large language models (LLMs) are increasingly used for diagnostic tasks in medicine. In clinical practice, the correct diagnosis can rarely be immediately inferred from the initial…
The False Discovery Rate (FDR) of Multiple Tests in a Class Room Lecture
Julia Benditkis, Philipp Heesen, Arnold Janssen
Multiple tests are designed to test a whole collection of null hypotheses simultaneously. Their quality is often judged by the false discovery rate (FDR), i.e. the expectation of t…
Dynamic adaptive multiple tests with finite sample FDR control
Philipp Heesen, Arnold Janssen
The present paper introduces new adaptive multiple tests which rely on the estimation of the number of true null hypotheses and which control the false discovery rate (FDR) at leve…
Inequalities for the false discovery rate (FDR) under dependence
Philipp Heesen, Arnold Janssen
Inequalities are key tools to prove FDR control of a multiple test. The present paper studies upper and lower bounds for the FDR under various dependence structures of p-values, na…