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. 2018 Jan 30;5(1):e000240. doi: 10.1136/bmjresp-2017-000240

Table 2.

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.