Sentence examples for linear regression adjusting from inspiring English sources

We assessed the association between individual single nucleotide polymorphisms (SNPs) and CCT using linear regression, adjusting for age, gender and principal components of genetic ancestry.

Mixed model linear regression, adjusting for sociodemographic characteristics, was used to test a series of regression models performed according to mediation analysis procedures.

In women with PCOS, association between genotype and BMI was performed using linear regression adjusting for site and age.

Differences in the log10 transformed vaccine response between CMV and EBV infection status (and their interaction) were tested using linear regression adjusting for the possible confounding effect of malaria infection.

Because we observed a very strong logarithmic correlation between median triglyceride level and median HDL-C cholesterol level (Figure S3), we further assessed the TRIB1-HDL-C relationship using multiple linear regression, adjusting for triglyceride concentration in addition to the other clinical variables (e.g., age, gender, BMI and smoking status).

Association between genotype and quantitative traits (conducted separately in cases and controls) was performed using linear regression adjusting for site, age and BMI in all analyses except those in which BMI was the dependent variable, wherein analyses were adjusted for site and age.

†Estimated with multilevel mixed effect linear regression adjusting for baseline Hb status and clustering at the school and county level.

As in the previous regression analysis, multivariate linear regression adjusting for age, sex, ethnicity and BMI was performed.

Linear regression, adjusted for relevant covariates, was used to estimate the association between Street Smart Walk Score™ and the MOVES.

Linear regression adjusted dietary intake across attitudes.

Models predicting PDs utilized linear regression; adjusted models control for alcohol dependence and family history of depression.