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We evaluated the use of logistic regression to model the probabilities of spontaneously reported vaccine-event pairs being adverse reactions following immunization (ARFI), using disproportionality and unexpectedness of time-to-onset (TTO) distributions as predictive variables and the presence of events in the global product information as a dependent variable.

Use of Logistic Regression to Combine Two Causality Criteria for Signal Detection in Vaccine Spontaneous Report Data