The phrase "analyses of the log" is correct and usable in written English.
It can be used when discussing the examination or study of data recorded in a log, such as in computing, research, or data analysis contexts.
Example: "The analyses of the log revealed several patterns that were previously unnoticed."
Alternatives: "examinations of the log" or "studies of the log".
Fig. 1 Sensitivity analyses of the log odds ratios to the changes of π a0 and π a1 where π s0 and π s1 are set as 1.
Fig. 3 Sensitivity analyses of the log odds ratios to the changes of π 0 and π 1, where π s0 and π a0 are set to be identical, and π s1 and π a1 are set to be identical.
We used standard software (WOMBAT) to implement full and reduced rank analyses of the log transformed data and finally applied our negative binomial reduced rank random regression model.
Genome-wide linear regression analyses of the log transformed data were conducted using MethLAB, version 1.5, using our previously described procedures [ 13, 27].
Analyses of the log transformed faecal egg counts, using the software WOMBAT, showed that decreasing the number of eigenfunctions (M) produced more differences compared to the full range analysis (Fig. 5) [ 55].
As in the first step, maternal effects only improved model fitting for GBW (according to AIC and BIC) and thus were not considered in the case of YW. Results from model (2) and reduced models were compared to evaluate the importance of including direct additive genetic effects and maternal additive effects in the analyses of the log squared estimated residuals.
Although the distributions of number of GP consults, chronic diseases, and loneliness were positively skewed, analyses of the log-transformed data yielded patterns of outcomes that were very similar to those of the untransformed data.
We also performed the regression analyses on the log-transformed scale of nicotine levels.
In form-space analyses, loadings of the log centroid size onto PC1 and PC2 axes were 0.91 and 0.41.
The ratios of the LSMs were determined using exponentiation of the differences in the LSMs from the analyses of the corresponding log-transformed parameters.
We conducted univariable logistic regression analyses using the log odds of the probability of correctly answering the questions as the outcome variable, and age group, race/ethnicity, private medical insurance, and recent/ever usage of a given cancer screening or contraceptive method as the independent variables.
