Models for the Relationship Between Ambient Temperature and Daily Mortality

By Ben Armstrong. Epidemiology, 2006

601 citations recorded by the source corpus.

Subfields: Critical Care and Intensive Care Medicine, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/066f4723433cf2b39fbbcdd3dd4143942c0beca5

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In Critical Care and Intensive Care Medicine

In Health, Toxicology and Mutagenesis

Citations in the corpus

Modeling exposure–lag–response associations with distributed lag non-linear models (2013, unknown): “As anticipated earlier, Armstrong [23] proposed the same approach for time series data within the DLNM framework, generalizing this tensor product parameterization through the concept of cross-basis .”
Multivariate meta-analysis for non-linear and other multi-parameter associations (2012, unknown): “In our example, the first-stage analysis is carried out using a generalized linear model with quasi-Poisson family for overdispersed data, following a standard analytical approach for time-series environmental data [15, 22].”
Reducing and meta-analysing estimates from distributed lag non-linear models (2013, methodology): “Modelling strategy The first-stage region-specific model is specified by adopting a standard analytical approach for time series environmental data [1,3,4].”
Weather-Related Mortality (2009, result): “here and in previous studies may provide a more complete assessment of temperature and mortality risk.(8,15)”
Short-term effects of daily air pollution on mortality (2013, background): “Individual factors are unlikely to cause bias in time-series studies, although they may have an influence on panel and other longitudinal studies (Navidi et al., 1999; Zeger et al., 1999, 2000; Schwartz and Zanobetti, 2000; Levy et al., 2001; Bateson and Schwartz, 2001; Bell et al., 2004; Burnett an”
Distributed lag non-linear models (2010, methodology): “A previous discussion on choice of DLNM from an epidemiological perspective emphasized compromise between sufficient complexity to capture detail and sufficient simplicity to allow interpretation [7].”
Distributed Lag Linear and Non-Linear Models in R: The Package dlnm (2011, methodology): “Several alternatives have been proposed, from an unconstrained DLM (simply a parameter for each xt−` with ` ∈ `) (Hajat et al. 2005), to the use of strata (Pattenden et al. 2003), polynomials (Schwartz 2000) or splines (Zanobetti et al. 2000; Armstrong 2006).”
Time series regression studies in environmental epidemiology (2013, unknown): “Bhaskaran, K; Gasparrini, A; Hajat, S; Smeeth, L; Armstrong, B (2013) Time series regression studies in environmental epidemiology.”