midat

<p>These simulated data comprise ages in days at respiratory tract infection and first myocardial infarction in 1000 cases.</p>

datasets

Various self-controlled case series models used to investigate
associations between time-varying exposures such as vaccines or
other drugs or non drug exposures and an adverse event can be
fitted. Detailed information on the self-controlled case series
method and its extensions with more examples can be found in
Farrington, P., Whitaker, H., and Ghebremichael Weldeselassie, Y.
(2018, ISBN: 978-1-4987-8159-6. Self-controlled Case Series studies:
A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press)
and <https://sccs-studies.info/index.html>.

Yonas Weldeselassie

SCCS

The Self-Controlled Case Series Method

midat function

<p>A data frame containing 2187 rows and 6 columns. The column names are 'case' (individual identifier), 'sta' (age on first day of the observation period), 'end' (age on last day of the observation period), 'mi' (age at first myocardial infarction), 'rti' (age at respiratory tract infection), 'cen' (the censoring indicator, equal to 1 if the observation period is censored, 0 if not). The data are in format "stack".</p>

midat: Data on respiratory tract infections and myocardial infarction

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