| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T482 |
0-28 |
Sentence |
denotes |
Logistic Regression Analysis |
| T483 |
29-274 |
Sentence |
denotes |
Logistic regression model with covariates BMI, age and sex were built with each variable (lipid/metabolite) to search for significant variables that can predict the conditions (i.e., healthy control, mild, moderate, severe COVID-19) of subjects. |
| T484 |
275-416 |
Sentence |
denotes |
The p value of the variable estimate in the model was extracted and those with false discovery rate (fdr) smaller than 0.05 were shortlisted. |
| T485 |
417-546 |
Sentence |
denotes |
Forest plots of these significant variables were constructed and the boxplots of individual significant variables were generated. |
| T486 |
547-675 |
Sentence |
denotes |
A list of 61 lipids and 89 metabolites were found to be significant (fdr < 0.05) in their respective logistic regression models. |
| T487 |
676-896 |
Sentence |
denotes |
Forest plots illustrate the magnitude of estimates on signed log x axis, with indicator of significance of the estimate in the model, with ∗∗∗ representing p < 0.001, ∗∗ representing p < 0.01 and ∗ representing p < 0.05. |
| T488 |
897-962 |
Sentence |
denotes |
For non-significant species, the estimates were plotted as zeros. |
