Combining evidence on air pollution and daily mortality from the 20 largest US cities : a hierarchical modelling strategy
- Author
- DOMINICI, Francesca1 ; SAMET, Jonathan M1 ; ZEGER, Scott L1
[1] Johns Hopkins University, Baltimore, United States - Source
Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 2000, Vol 163, Num 3, pp 263-302 ; ref : 1 p.3/4
- ISSN
- 0964-1998
- Scientific domain
- Mathematics
- Publisher
- Blackwell, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse corrélation Analyse donnée Analyse multivariable Association statistique Autocorrélation Biométrie Calcul variationnel Chaîne Markov Corrélation spatiale Covariable Estimation linéaire Estimation statistique Fonction taux Loi 2 variables Loi a posteriori Loi a priori Modèle linéaire Modèle loglinéaire Modèle régression Mortalité Moyenne Méthode Monte Carlo Méthode analytique Méthode semiparamétrique Méthode statistique Pollution air Potentiel interaction Principe variationnel Processus stochastique Régression linéaire Régression statistique Série mathématique Série temporelle Variation spatiale
- Keyword (en)
- Correlation analysis Data analysis Multivariate analysis Statistical association Autocorrelation Biometrics Variational calculus Markov chain Spatial correlation Covariate Linear estimation Statistical estimation Rate function Bivariate distribution Posterior distribution Prior distribution Linear model Loglinear model Regression model Mortality Average Monte Carlo method Analytical method Semiparametric method Statistical method Air pollution Interaction potential Variational principle Stochastic process Linear regression Statistical regression Mathematical series Time series Spatial variation
- Keyword (es)
- Análisis correlación Análisis datos Análisis multivariable Asociación estadística Autocorrelación Biometría Cálculo de variaciones Cadena Markov Correlación espacial Covariable Estimación lineal Estimación estadística Función tasa Ley 2 variables Ley a posteriori Ley a priori Modelo lineal Modelo loglineal Modelo regresión Mortalidad Promedio Método Monte Carlo Método analítico Método semiparamétrico Método estadístico Contaminación aire Potencial interacción Principio variacional Proceso estocástico Regresión lineal Regresión estadística Serie matemática Serie temporal Variación espacial
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02I Multivariate analysis
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02J Linear inference, regression
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02M Inference from stochastic processes; time series analysis
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A01 Generalities
- Discipline
- Animal, vegetal and microbial ecology Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 804827
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1111/1467-985X.00170 
https://dx.doi.org/10.1111/1467-985X.00170
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