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To evaluate the linear relationship between TDCIPP dust concentrations and urinary BDCIPP concentrations and to ascertain the predictability of urinary BDCIPP from dust TDCIPP, we created a linear model predicting natural logarithm of BDCIPP (ln[BDCIPP]) urine concentrations with ln[TDCIPP] dust concentrations and creatinine (mmol/L).
Research has been undertaken to ascertain the predictability of non-stationary time series using wavelet and Empirical Mode Decomposition (EMD) based time series models.
To evaluate the linear relationship between TDCIPP dust concentrations and urinary BDCIPP concentrations and to ascertain the predictability of urinary BDCIPP from dust TDCIPP, we conducted linear regression models with natural log-transformed urinary concentrations as the response variable and natural log-transformed dust concentrations and creatinine as explanatory variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com