Based on the results of the above analyses, post-hoc regression analysis (SAS 9.2 Regression Procedure) was conducted separately for each individual cluster in Table 2. Outcomes of each regression were corrected for multiple comparisons (e.g., for the six post-hoc cluster analyses) using the false discovery rate (FDR).
N.B: The Cox and Weibull regression are corrected by age and sex.
The AR1 regression is corrected for first-order correlation in the error terms and does not include the lagged value of the gonorrhea incidence rate.
Simulated examples when logistic regression is correct.
Amenity values of those measures were then evaluated in a hedonic regression that was corrected for identification problem caused by the endogeneity of landuse variables.
The regression analysis was corrected for sex, age, severity of illness, AKI, mean potassium, mean potassium squared and potassium variability.
Although the Cox regression model was corrected for BCFI and variables for second breast cancer treatment were incorporated as time-dependent covariates, outcomes need to be interpreted with caution.
In each study, the FI was incorporated into a multivariable regression model that was corrected for age, gender and a variety of other co-variables.
Change was defined by adjusting for the baseline scores of the EQ-5Dindex [ 22]; in this way, regression to the mean was corrected simultaneously.
Because the regression coefficient of this probability was corrected for the diallelic DGAT1 polymorphism, it represented a putative conditional QTL effect.
