R: Modelling temperature effects on mortality via the...
modTempEff-package
R Documentation
Modelling temperature effects on mortality via the constrained segmented
distributed lag parameterization
Description
Estimation of a Poisson log linear regression to model the temperature effect on health
using the ‘constrained segmented distributed lag parameterization’ which allows to account simultaneously
for typical features of temperature effects: nonlinear effect delayed over several days.
Details
Package:
modTempEff
Type:
Package
Version:
1.5.2
Date:
2014-09-16
License:
GPL
Package modTempEff fits a Poisson log linear regression to model the temperature effect on health
using the ‘constrained segmented distributed lag parameterization’ which allows to account simultaneously
for typical features of temperature effects: nonlinear effect delayed over several days.
Fitting is performed by the function tempeff and 'print', 'summary', 'plot', 'anova'
and 'coef' methods are included to summarize and to display results.
Muggeo, V.M.R. (2010) Analyzing temperature effects on mortality within the R
environment: the constrained segmented distributed lag parameterization
Journal of Statistical Software32, 12, 1–17.
Muggeo, V.M.R. (2008) Modeling temperature effects on mortality: multiple
segmented relationships with common break points
Biostatistics9, 613–620.
Muggeo, V.M.R., Hajat, S. (2009) Modelling the nonlinear multiple-lag effects of
ambient temperature on mortality in Santiago and Palermo : a constrained
segmented distributed lag approach. Occupational Environmental Medicine66, 584–591.
Muggeo, V.M.R. (2003) Estimating regression models with unknown break-points.
Statistics in Medicine22, 3055–3071.
Some background references on temperature effect on mortality via time series data (epidemiological papers)
Armstrong, B. (2006) Models for the relationship between ambient temperature and daily
mortality Epidemiology17, 624–631.
Basu, R., Samet, J. (2002). Relation between elevated ambient temperature and mortality: a
review of the epidemiologic evidence Epidemiological Reviews24, 190–202.