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A simple linear regression model of the plasma-to-blood Pb ratio was fitted to assess the relationship between this marker and the number of lifetime abortions; for this model, loge transformation of the plasma/blood Pb ratio was used to achieve a normal distribution of the residuals.
Cox proportional hazards models were fit to assess the association between CI and clinical outcomes.
Logistic regression models were fitted to assess the association between asthma symptoms and DNA methylation.
A multivariate mixed effects logistic regression was fitted to assess the factors associated with CNIP-induced haemodynamic instability.
Proportional hazards models were fitted to assess the association of blood pressure category with incident diabetes.
Thirdly, a random effects model is fitted to assess the effectiveness of the intervention.
Univariate linear regression models were fitted to assess the relationship between changes in parameters.
Second, regression models were fitted to assess the association between oral health and socioeconomic position.
Linear regression models were fitted to assess whether food parenting practices predict dietary behavior.
A linear regression was fitted to assess whether elapsed days explained variation in participation rate.
Logistic regression models were fit to assess associations between socioeconomic status and ASC use.
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CEO of Professional Science Editing for Scientists @ prosciediting.com