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. Author manuscript; available in PMC: 2024 Mar 12.
Published in final edited form as: Lancet Digit Health. 2024 Mar;6(3):e211–e221. doi: 10.1016/S2589-7500(23)00250-9

Figure 2: Illustrative examples of comparative algorithm performance.

Figure 2:

Algorithm performance for each regional morphometric measure was assessed separately in males and females with the MAE, RMSE, EV, and CPU time. The MAE, RMSE, EV, and CPU times of the models for left thalamic volume (A), the left medial orbitofrontal cortical thickness (B), and left medial orbitofrontal cortical surface area (C) as exemplars here for females and in appendix 1 (p 4) for males. The pattern identified was the same across all region-specific models and in both sexes (appendix 1 pp 5–6). Note that scales on y axes differ between plots. BLR=Bayesian linear regression. CPU=central processing unit. EV=explained variance. GAMLSS=generalised additive models for location, scale, and shape. GPR=Gaussian process regression. HBR=hierarchical Bayesian regression. LMS=Lambda (λ), Mu (μ), Sigma (σ) method. MAE=mean absolute error. MFPR=multivariate fractional polynomial regression. OLSR=ordinary least squares regression. RMSE=root mean square error. WBLR=warped Bayesian linear regression.