Add to ORKGcancer survival estimates - Italian regions- socio-economic variables - health-related ecological variable
The aim of the present study was to estimate total cancer mortality trends from 1982 to 2011 in a &#...
Mortality rates for 21 cancer sites in 20 Italian regions have been correlated with several economic...
Key words: cancer, cancer registries, incidence, prevalence, mortality, Emi-lia-Romagna, regression ...
cancer survival estimates in EU- socio-economic variables- health related variable
INTRODUCTION -The ISES Working Group built models for calculating regional and provincial expected r...
Aim: The main aim of this work is to compute expected cancer survival for Italian provinces by Socio...
Abstract AIM: The main aim of this work is to compute expected cancer survival for Italian provinces...
Population-based survival statistics are fundamental to assess the efficacy of services offered to i...
Key words: cancer survival, estima-tion models, health system resources, socioeconomic variables
AIMS AND BACKGROUND: To provide model-based estimates of all cancers patient survival in Italy and i...
AIMS AND BACKGROUND: To provide model-based estimates of all cancers patient survival in Italy and i...
Population-based survival statistics are fundamental to assess the efficacy of services offered to i...
ISTAT-BES calculates the mortality rate from cancer in the age group between 20 and 64 years
Abstract BACKGROUND AND AIMS: Cancer is a chronic disease whose clinical history has a strong relati...
Key words: demographic and socioe-conomic indicators, Italy and its re-gions and macro areas, cancer...
The aim of the present study was to estimate total cancer mortality trends from 1982 to 2011 in a &#...
Mortality rates for 21 cancer sites in 20 Italian regions have been correlated with several economic...
Key words: cancer, cancer registries, incidence, prevalence, mortality, Emi-lia-Romagna, regression ...
cancer survival estimates in EU- socio-economic variables- health related variable
INTRODUCTION -The ISES Working Group built models for calculating regional and provincial expected r...
Aim: The main aim of this work is to compute expected cancer survival for Italian provinces by Socio...
Abstract AIM: The main aim of this work is to compute expected cancer survival for Italian provinces...
Population-based survival statistics are fundamental to assess the efficacy of services offered to i...
Key words: cancer survival, estima-tion models, health system resources, socioeconomic variables
AIMS AND BACKGROUND: To provide model-based estimates of all cancers patient survival in Italy and i...
AIMS AND BACKGROUND: To provide model-based estimates of all cancers patient survival in Italy and i...
Population-based survival statistics are fundamental to assess the efficacy of services offered to i...
ISTAT-BES calculates the mortality rate from cancer in the age group between 20 and 64 years
Abstract BACKGROUND AND AIMS: Cancer is a chronic disease whose clinical history has a strong relati...
Key words: demographic and socioe-conomic indicators, Italy and its re-gions and macro areas, cancer...
The aim of the present study was to estimate total cancer mortality trends from 1982 to 2011 in a &#...
Mortality rates for 21 cancer sites in 20 Italian regions have been correlated with several economic...
Key words: cancer, cancer registries, incidence, prevalence, mortality, Emi-lia-Romagna, regression ...