Introduction: Essential tremor (ET) is the most common tremor disorder, estimated to affect 7 million individuals in the U.S. There is little empirical evidence on comorbidities among this population
Objective: To develop a valid algorithm for identifying multiple sclerosis (MS) cases in administrative health claims (AHC) datasets. Methods: We used 4 AHC datasets from the Veterans Administration