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In analyses using bone lead as an independent variable, statistical techniques can be used to adjust regression estimates based on estimates of measurement uncertainty and bone lead variability.
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This approach will enable modelling of the interaction among key variables, with the statistical techniques associated with longitudinal data analysis, which will allow us to study how these variables and their relations change over time.
To explore relationships between the variables, the statistical technique of Pearson-product-moment correlation was used.
Nowadays it is possible to analyse longitudinal 'count' outcome variables with advanced statistical techniques such as mixed models.
The calibrated models were then applied in a validation area using the same set of independent variables, and the same statistical techniques.
We aimed to develop a more efficient model with additional explanatory variables using more sophisticated statistical techniques to assess trust performance (QUality and Outcomes Research Unit Measure, QUORUM).
We will assess the relationship of candidate variables to in-hospital outcomes using appropriate statistical techniques for the dependent variable.
Currently the DNA methylation field resembles gene expression studies of a decade ago: it is technology-limited and characterized by small sample sizes, diverse techniques and variable statistical standards [ 22].
This concept can be expanded to include countries, new variables and timeframes, and novel statistical techniques (e.g., using time series or cross sectional data).
To apply these statistical techniques the variables were required to follow a normal distribution.
Further study should explore the transformation of such variables into categorical data using statistical techniques such as cluster analysis.
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