pmdat: Data on asthma admissions and air pollution
In SCCS: The Self-Controlled Case Series Method
pmdat R Documentation
Data on asthma admissions and air pollution
Description
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).
Usage
pmdat
Format
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.
References
Farrington, C. P. and Whitaker H. J. (2006). Semiparametric analysis of case series data (with discussion). Journal of the Royal Statistical Society, Series C 55 (5), 553-594.
SCCS documentation built on July 5, 2022, 5:05 p.m.
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| pmdat | R Documentation |
Data on asthma admissions and air pollution
Description
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).
Usage
pmdat
Format
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.
References
Farrington, C. P. and Whitaker H. J. (2006). Semiparametric analysis of case series data (with discussion). Journal of the Royal Statistical Society, Series C 55 (5), 553-594.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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