pmdat

<p>The data are a daily time series of hospital admissions for asthma in Nottingham, with levels (in micrograms per cubic metre) of particulate matter less than 10 micrometres in diameter (PM10 levels).</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

pmdat function

<p>A data frame containing 2922 rows and 3 columns. The column names are 'day' (day of observation, 1 to 2922), 'asma' (number of asthma admissions on that day), and 'pm10' (PM10 level on that day). The data are in time series format, for SCCS analysis using generalised linear models.</p>

pmdat: Data on asthma admissions and air pollution

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