In this paper we review and present methods and models, based on the maximum likelihood approach, for the study of the pattern of variability of a set of standardized mortality ratios. These methods can be useful in analysing and mapping standardized mortality risks for very rare causes of death
The relative survival framework is a popular method for the estimation of a subject's survival, corr...
<p>Odds ratios and 95% confidence intervals comparing the chance of having the disease listed on the...
<p>Standardized mortality ratios (SMR) and 95% confidence intervals (95% CI) for studies of laborato...
In this paper we review and present methods and models, based on the maximum likelihood approach, fo...
Traditional methods of computing standardized mortality ratios (SMR) in mortality studies rely upon ...
Standardization is a common method for adjusting confounding factors when comparing two or more expo...
The analysis of geographic variation of disease and its representation on a map form an important to...
Master's thesis in Mathematics and physicsSurvival data analysis is a set of statistical methodologi...
To compare the occurrence of disease or death in epidemiological or health-policy research an import...
none3The analysis of large data sets of standardized mortality ratios (SMRs), obtained by collecting...
Traditional comparison of standardized mortality ratios (SMRs) can be misleading if the age-specific...
For analyzing multiple events data, the illness death model is often used to investigate the covaria...
Epidemiologic studies frequently try to estimate the impact of a specific risk factor. The risk diff...
We wish to estimate the associated excess death rate (EDR) or mortality ratio (MR) from a published ...
As razões de mortalidade: "Standardized Risk Ratio" (SRR), "Standardized Mortality Ratio" (SMR) e "S...
The relative survival framework is a popular method for the estimation of a subject's survival, corr...
<p>Odds ratios and 95% confidence intervals comparing the chance of having the disease listed on the...
<p>Standardized mortality ratios (SMR) and 95% confidence intervals (95% CI) for studies of laborato...
In this paper we review and present methods and models, based on the maximum likelihood approach, fo...
Traditional methods of computing standardized mortality ratios (SMR) in mortality studies rely upon ...
Standardization is a common method for adjusting confounding factors when comparing two or more expo...
The analysis of geographic variation of disease and its representation on a map form an important to...
Master's thesis in Mathematics and physicsSurvival data analysis is a set of statistical methodologi...
To compare the occurrence of disease or death in epidemiological or health-policy research an import...
none3The analysis of large data sets of standardized mortality ratios (SMRs), obtained by collecting...
Traditional comparison of standardized mortality ratios (SMRs) can be misleading if the age-specific...
For analyzing multiple events data, the illness death model is often used to investigate the covaria...
Epidemiologic studies frequently try to estimate the impact of a specific risk factor. The risk diff...
We wish to estimate the associated excess death rate (EDR) or mortality ratio (MR) from a published ...
As razões de mortalidade: "Standardized Risk Ratio" (SRR), "Standardized Mortality Ratio" (SMR) e "S...
The relative survival framework is a popular method for the estimation of a subject's survival, corr...
<p>Odds ratios and 95% confidence intervals comparing the chance of having the disease listed on the...
<p>Standardized mortality ratios (SMR) and 95% confidence intervals (95% CI) for studies of laborato...