The data set contains daily mortality (all causes, CVD, respiratory), weather (temperature, dew point temperature, relative humidity) and pollution data (PM10 and ozone) for Chicago in the period 1987-2000 from the National Morbidity, Mortality and Air Pollution Study (NMMAPS)
data(chicagoNMMAPS)A data frame with 5114 observations on the following 14 variables.
date: Date in the period 1987-2000.
time: The sequence of observations
year: Year
month: Month (numeric)
doy: Day of the year
dow: Day of the week (factor)
death: Counts of all cause mortality excluding accident
cvd: Cardiovascular Deaths
resp: Respiratory Deaths
temp: Mean temperature (in Celsius degrees)
dptp: Dew point temperature
rhum: Mean relative humidity
pm10: PM10
o3: Ozone
These data represents a subsample of the variables included in the NMMAPS dataset for Chicago.
The variable temp is derived from the original tmpd after a transformation from Fahrenheit to Celsius. The variables pm10 and o3 are an approximated reconstruction of the original series, adding the de-trended values and the median of the long term trend. This is the reason they include negative values.
nested for an example of analysing exposure-lag-response associations in a nested case-control study. drug for an example of analysing exposure-lag-response associations in a randomized controlled trial.
The application of DLNMs to this data with more detailed examples are given in vignette dlnmExtended.
See dlnm-package for an introduction to the package and for links to package vignettes providing more detailed information.