Standardization is a method used to compare observed and expected rates of a given disease/outcome by removing the influence of factors that may confound the comparison. There are two major standardization methods: one is used when the 'standard' is the structure of a population (direct method) and the other when the 'standard' is a set of specific event rates (indirect method). The direct standardization is commonly used for large populations while the indirect one is applied to populations of relatively small dimension
The participants in randomized trials and other studies used for causal inference are often not repr...
The article reviews standardization methods commonly employed to adjust for response bias in cross-c...
Standardization provides methodologies by which independent investigations of the same situation are...
Direct and indirect standardization procedures aim at comparing differences in health or in health c...
A covariate is not a confounder if it is not a risk factor to disease, or if it has the same distrib...
Standardization of rates is a basic tool for epidemiologists. The most frequently used methods are t...
It is a common interest in medicine to determine whether a hospital meets a benchmark created from a...
In this paper, prediction provides the basis for unifying the procedures of covariance adjustment an...
The indirect approach to defining reference intervals operates ‘a posteriori’, on stored laboratory ...
In many situations we are interested in appraising the value of a certain characteristic for a given...
Stratification allows to control for confounding by creating two or more categories or subgroups in ...
A formal comparison is made between direct standardization and three cross-classified data structure...
Reference intervals (RIs) can be determined by direct and indirect procedures. Both approaches ident...
Reference intervals are a vital part of the information supplied by clinical laboratories to support...
The methods of the analysis of research data including the concomitant variables (confounders) assoc...
The participants in randomized trials and other studies used for causal inference are often not repr...
The article reviews standardization methods commonly employed to adjust for response bias in cross-c...
Standardization provides methodologies by which independent investigations of the same situation are...
Direct and indirect standardization procedures aim at comparing differences in health or in health c...
A covariate is not a confounder if it is not a risk factor to disease, or if it has the same distrib...
Standardization of rates is a basic tool for epidemiologists. The most frequently used methods are t...
It is a common interest in medicine to determine whether a hospital meets a benchmark created from a...
In this paper, prediction provides the basis for unifying the procedures of covariance adjustment an...
The indirect approach to defining reference intervals operates ‘a posteriori’, on stored laboratory ...
In many situations we are interested in appraising the value of a certain characteristic for a given...
Stratification allows to control for confounding by creating two or more categories or subgroups in ...
A formal comparison is made between direct standardization and three cross-classified data structure...
Reference intervals (RIs) can be determined by direct and indirect procedures. Both approaches ident...
Reference intervals are a vital part of the information supplied by clinical laboratories to support...
The methods of the analysis of research data including the concomitant variables (confounders) assoc...
The participants in randomized trials and other studies used for causal inference are often not repr...
The article reviews standardization methods commonly employed to adjust for response bias in cross-c...
Standardization provides methodologies by which independent investigations of the same situation are...