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SummaryThe case series method is useful in studying the relationship between time‐varying exposures, such as infections, and acute events observed during the observation periods of individuals. It provides estimates of the relative incidences of events in risk periods (e.g., 30‐day period after infections) relative to the baseline periods. When the times of exposure onsets are not known precisely,...
The case series model allows for estimation of the relative incidence of events, such as cardiovascular events, within a pre‐specified time window after an exposure, such as an infection. The method requires only cases (individuals with events) and controls for all fixed/time‐invariant confounders. The measurement error case series model extends the original case series model to handle imperfect data,...
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