Exact(4)
Model 1, which uses only disproportionality information, estimates a higher probability (36%%) for V Es having PRRE = PRRLL = ']0.8,1.2]' because it is within this range of values that the observed frequency of known safety issues was observed.
Models 2 and 3 estimate a higher probability for V Es with small p values for the KS tests, and model 3 fluctuates around these probabilities to take into account the disproportionality information.
In model 1, the disproportionality information summarized by the PRR estimate and its 95%% lower limit poorly predicted the presence of AEs in the GPI for the eight vaccines under study.
The unexpectedness of a TTO distribution, used in model 2 and 3, was a better predictor of the presence of AEs in the GPI than the disproportionality information used in model 1.
Similar(56)
A disproportionality analysis provided information on the frequency of reporting of a vaccine-event pair relative to background reporting in the database (Van Holle et al., 2012; Karimi et al., 2013), aiming to detect higher than expected reporting of vaccine-event combinations.
In this study, disproportionality is measured using the Information Component (IC), a disproportionality measure based on shrinkage observed-to-expected ratios [ 13, 26].
The estimated parameters of the logistic regression provide the weight of each causality criterion to define the probability of being an ARFI [ 10], using the current knowledge of the V Es already recognized as being a safety concern, a piece of information neglected by both disproportionality and TTO methods.
Validation of a signal following a disproportionality analysis normally includes ascertaining reliable information on the background incidence of the suspected new ADR in the population at risk, i.e., in patients with the same disease without treatment with the drug in question.
"The data show that African American disproportionality [in discipline] is at its highest level ever and still increasing," he said.
Information on concomitant drugs was used to identify potential confounders/effect modifiers to adjust or stratify disproportionality analysis (see below).
Here, we illustrate how logistic regression can be used to model the probability of a V E pair being an ARFI, meaning an AE causally related to immunization, using disproportionality and unexpectedness of the TTO distribution as predictive variables and the presence of events in the global product information (GPI) as a predicted dependent variable.
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