Survival models were generated using Lasso regression in 269 patients with malignant pleural mesothelioma
| Predictor variables included in final model | OS | OS <6 months | OS <12 months |
| Age | 0.086070 | 0.146336 | 0.176899 |
| White cell count | 0.245527 | 0.436034 | 0.182477 |
| Albumin | −0.198633 | −0.264057 | −0.273290 |
| Epithelioid subtype | −0.311515 | −0.191842 | |
| C-reactive protein | 0.110628 | ||
| Platelet count | 0.000774 |
Cells report coefficients associated with each predictor; these are weighting factors relative to the units of the variable after scaling. Positive coefficients describe a positive association between the predictor variable and mortality risk; negative coefficients describe the opposite. The sum of the weighted coefficients produces an estimate for the outcome of interest.
Lasso, least absolute shrinkage and selection operator; OS, overall survival.