6533b872fe1ef96bd12d3824

RESEARCH PRODUCT

Modeling temperature effects on mortality: multiple segmented relationships with common break points.

Vito M. R. Muggeo

subject

Statistics and ProbabilityDistributed lagHot TemperatureTime FactorsInjury controlPoison controltemperature effectRisk FactorsStatisticsHumansSegmented regressionMortalitysegmented regressionWeatherSimulationMathematicsLikelihood FunctionsModels StatisticalTemperatureGeneral MedicineHeat toleranceCold TemperatureSpline (mathematics)Nonlinear systemStandard errorItalyNonlinear DynamicsLinear ModelsRegression AnalysisStatistics Probability and Uncertaintybreak pointSettore SECS-S/01 - StatisticaAlgorithms

description

We present a model for estimation of temperature effects on mortality that is able to capture jointly the typical features of every temperature-death relationship, that is, nonlinearity and delayed effect of cold and heat over a few days. Using a segmented approximation along with a doubly penalized spline-based distributed lag parameterization, estimates and relevant standard errors of the cold- and heat-related risks and the heat tolerance are provided. The model is applied to data from Milano, Italy.

yearjournalcountryeditionlanguage
2008-02-27Biostatistics (Oxford, England)
10.1093/biostatistics/kxm057https://pubmed.ncbi.nlm.nih.gov/18308697