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*HPV prevalence among cases, with no distinction between simple and multiple infections, across the studies that reported counts of the HPV genotypes under consideration.
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We used Pearson correlations to evaluate relations between contaminants, and simple and multiple linear regression models to evaluate the relationship between environmental contaminants, TH, and TBG in plasma.
To summarise succinctly, the relationship between a conventional Rasch model (which is now commonly used to analyse the results of examinations) and FACETS, is similar to that of the relationship between simple regression and multiple regression.
The correlation coefficient r ranged between 0.9 and 1 in simple and multiple regression schemes.
We investigated associations between variables by use of simple and multiple linear regression.
Correlations between variables were studied by simple and multiple regression analysis by using square root transformation if distribution was skewed.
Simple and multiple regressions between contaminants and TSH as well as fT4 were not significant.
Relationships between variables were estimated with the simple and multiple regression analysis.
The relationships between variables were estimated with the simple and multiple regression analysis.
Table 4 shows simple and multiple linear associations between thyroid parameters measured in umbilical cord blood and OCs or CPCs levels in cord and maternal plasma.
To assess the association between risk factors and COPD, linear regression and simple and multiple logistical regressions will be used according to the nature of the response variables.
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