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Fig. 1 | Cancer Cell International

Fig. 1

From: A multi-parametric prognostic model based on clinical features and serological markers predicts overall survival in non-small cell lung cancer patients with chronic hepatitis B viral infection

Fig. 1

Potential predictors selection using Lasso regression analysis. a The changing trajectory of each predictor. The horizontal axis represents the log value of the each predictor λ, and the vertical axis represents the coefficient of the independent predictor; b Tuning the penalty parameter in Lasso regression analysis using tenfold cross validation and 1 standard error of the minimum criteria; c Histogram shows the role of each predictor that contribute to the developed prognostic model. The predictors that contribute to the prognostic model are plotted on the x-axis, with their coefficients in the Lasso regression analysis plotted on the y-axis

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Cancer Cell International

ISSN: 1475-2867

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