Sentence examples for transformed estimates from inspiring English sources

To facilitate interpretation of results mean differences were back-transformed from the square root transformed estimates to the original density scales, with reference values corresponding approximately to median values in the study population (i.e. percent density 30%, dense area 35 cm, lucent area 90 cm).

All comparisons were based on threshold cycle number itself, rather than transformed estimates of RNA quantity, because the former value best reflects experimental error.

The pooled estimates calculated based on the untransformed and logit transformed estimates are presented in Table  3.

Log2 transformed estimates of gene-level expression were extracted for analysis with corresponding expression status values indicating whether the genes were detected above background level.

Transformed estimates derived from the least squares means for this model and their standard errors are plotted in Figure 3.

Transformed estimates were back transformed for presentation.

Sampling variance was calculated using the jackknife procedure, appropriate for the complex, multistage sample design (21), and 95% confidence limits were calculated by taking the natural logarithm of the mean difference, estimating the standard error of the transformed estimate, deriving confidence limits, and back-transforming the confidence limits via exponentiation.

We log transformed estimated and actual meal calorie content because the data were substantially right skewed.

The back transformed estimate of the difference between average SP concentration in meloxicam and placebo-treated calves was 0.50 (95% Confidence interval: 0.26 to 0.96).

†Because we log transformed estimated calories, exponentiated parameter estimates are relative changes in estimated calorie content per unit increase for linear predictors or compared with reference group for categorical predictors.

Because of the log-transformation, we applied Duan's "smearing estimate" to back-transform estimates to original (untransformed) units of cm; this method adjusts for bias arising in retransformation of estimates from nonparametric or generalized linear models [ 27].