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First, we performed a logistic regression analysis to assess the logarithmic odds for the predicting variables which can be used to compute the probability for a patient to have absence days.
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Logistic regression models were fitted to assess the calibration of predicted logarithmic ORs, and observed risk was the predicted risk multiplied by an estimated calibration coefficient.
Rickettsial load in fleas and the ratio of Rf17kDa/Cf18S were assessed after the logarithmic transformation of the quantity of the genes of interest (Rf17kDa and Cf18S).
Forward scatter, sideward scatter, FL 1 and FL 2 were assessed using the logarithmic mode.
EGP in women can be calculated using the following relationship (5): Rd was assessed by the logarithmic relationship, on the one hand, between fasting insulin concentrations and fasting EGP that equals fasting Rd, and on the other hand, between the CLIX and the highest insulin concentration during the OGTT, as described and used for the validation group in the study by Anderwald et al. (5).
Therefore, the inclusion of the population effect as a relative effect instead of an absolute one seems more appropriate, which justifies the inclusion of the population in a logarithmic scale to assess the effect of the size of the cities.
Five LSPs were tested, and four variants were computed for each LSP to assess the impact of median filtering of DEMs, and logarithmic transformation of LSPs.
Linear regression was used to assess the association between attainment of targets and hospitalization (after logarithmic transformation) costs per year.
A polynomial Poisson regression model with logarithmic link function was used to assess the evolution across the period of the number of SDM publications according to publication characteristics.
The cortisol data were transformed to base 10 logarithmic scores and analyzed by ANOVA to assess the effects of genotype, treatment and their interaction.
The main objectives were to assess the performance of different type of functions (i.e. power, logarithmic, etc).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com