Publications by Anna Alari
Variation of linear D-R curbes PM10/mortality
Descriptive Statistics for PM10 Descriptive Statistics for pm10 Ville Minimum X1st.Qu Median Mean X3rd.Qu Max NA.s bordeaux 0.0000000 17.00000 22.33333 24.68781 29.49141 101.66667 859 clermont 2.0000000 12.66667 17.50000 19.80135 24.00000 105.75000 372 grenoble 3.0000000 17.00000 24.00000 ...
11767 sym R (9594 sym/12 pcs) 69 img
Mediation Analysis, Temperature Ozone and Mortality with PSM (Meteo France definition)
Temperature Data Management Creating Database only with summer months villes_s<-list() for(i in 1:length(villes)) { villes_s[[i]]<-villes[[i]][villes[[i]]$saison=="summer",] villes_s[[i]]$temps <- ave(villes_s[[i]]$time,villes_s[[i]]$annee, FUN = seq_along) } names(villes_s)<-cities table of N obs per months to check to have only s...
6107 sym R (19815 sym/14 pcs) 19 img
Mediation Analysis, Temperature Ozone and Mortality (Meteo France definition)
Problem with line 219 Temperature Data Management Creating Database only with summer months table of N obs per months to check to have only summer month ## ## 1 2 3 4 5 6 7 8 9 10 11 12 ## 0 0 0 0 0 480 496 496 480 0 0 0 ## ## 1 2 3 4 5 6 7 8 9 10 11 12 ## 0 0 0 0 0 4...
12327 sym R (10142 sym/19 pcs) 11 img
Mediation Analysis, Temperature Ozone and Mortality (97.5 perc, 2 days)
Creating Database only with summer months villes_s<-list() for(i in 1:length(villes)) { villes_s[[i]]<-villes[[i]][villes[[i]]$saison=="summer",] villes_s[[i]]$temps <- ave(villes_s[[i]]$time,villes_s[[i]]$annee, FUN = seq_along) } names(villes_s)<-cities table of N obs per months to check to have only summer month for (i in 1:lengt...
6496 sym R (5758 sym/8 pcs) 6 img
Variation of D-R curbes NO2/mortality
Dose-Response Curves for NO2 and Non-accidental Mortality for 4 different periods 2000-2003 2004-2007 2008-2011 2012-2015 Descriptive Statistics for NO2 Ville Minimum X1st.Qu Median Mean X3rd.Qu Max NA.s bordeaux 2.657306 20.53435 29.10077 30.22419 38.71460 94.13857 894 clermont 3.858328 19.95917 28.17745...
2153 sym R (4331 sym/4 pcs) 24 img
Variation of D-R curbes PM10/mortality
Dose-Response Curves for PM10 and Non-accidental Mortality for 4 different periods Analysis are done by group of city, according to the availability of the data G1 - Three period considered. - City with data available from 2001 to 2015: Clermont Ferrand, Le Havre, Marseille, Nantes, Paris, Rouen, Strasbourg. - City with data available from 2002 t...
2685 sym R (3154 sym/3 pcs) 22 img
Mediation Analysis, test for nonlinearity - Temperature Ozone and Mortality (95 perc)
Creating Database only with summer months villes_s<-list() for(i in 1:length(villes)) { villes_s[[i]]<-villes[[i]][villes[[i]]$saison=="summer",] villes_s[[i]]$temps <- ave(villes_s[[i]]$time,villes_s[[i]]$annee, FUN = seq_along) } names(villes_s)<-cities table of N obs per months to check to have only summer month for (i in 1:lengt...
12880 sym R (17698 sym/22 pcs) 12 img
Mediation Analysis, Temperature Ozone and Mortality (95 perc)
Creating Database only with summer months villes_s<-list() for(i in 1:length(villes)) { villes_s[[i]]<-villes[[i]][villes[[i]]$saison=="summer",] villes_s[[i]]$temps <- ave(villes_s[[i]]$time,villes_s[[i]]$annee, FUN = seq_along) } names(villes_s)<-cities table of N obs per months to check to have only summer month for (i in 1:lengt...
6469 sym R (5749 sym/8 pcs) 6 img
Mediation Analysis, Temperature Ozone and Mortality, test for nonlinearity (Meteo France definition)
Temperature Data Management Creating Database only with summer months villes_s<-list() for(i in 1:length(villes)) { villes_s[[i]]<-villes[[i]][villes[[i]]$saison=="summer",] villes_s[[i]]$temps <- ave(villes_s[[i]]$time,villes_s[[i]]$annee, FUN = seq_along) } names(villes_s)<-cities table of N obs per months to check to have only s...
12903 sym R (14555 sym/10 pcs) 12 img
Mediation Analysis, Temperature Ozone and Mortality, test for nonlinearity (Meteo France definition, 75th binary ozone)
Temperature Data Management Creating Database only with summer months villes_s<-list() for(i in 1:length(villes)) { villes_s[[i]]<-villes[[i]][villes[[i]]$saison=="summer",] villes_s[[i]]$temps <- ave(villes_s[[i]]$time,villes_s[[i]]$annee, FUN = seq_along) } names(villes_s)<-cities table of N obs per months to check to have only s...
12890 sym R (384040 sym/1016 pcs) 12 img