IDENTIFYING PANIC DISORDER SUBTYPES USING FACTOR MIXTURE MODELING KU Leuven University of Antwerp
BACKGROUND: The clinical presentation of panic disorder (PD) is known to be highly heterogeneous, complicating research on its etiology, neurobiological pathways, and treatment. None of the attempts to identify PD subtypes have been independently reproduced, rendering the current literature inconclusive. METHODS: Using a data-driven, case-centered approach (factor mixture modeling) on a broad range of anxiety symptoms assessed with the Beck ...