Associations between risk score and new disease diagnosis in subsequent year.

* p ** p Note: Sample includes individuals employed at the firm on January 1, 1996. Analyses are conducted using linear probability models with individual-level random effects, in which an individual’s risk score in one year predicts their likelihood of a new diagnosis of disease in the following year. Standard errors are clustered at the individual level. To be considered a new diagnosis, the individual must have been free of the disease for the first two years of the study. For each of these conditions, individuals with one or more inpatient claims or two or more outpatient claims with a relevant ICD diagnosis code in a 365-day period are considered to have the disease in question. Each model includes dummy variables for year to control for secular trends.Associations between risk score and new disease diagnosis in subsequent year.