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. 2022 Feb 9;11(2):16. doi: 10.1167/tvst.11.2.16

Table 2.

Bayesian Linear Mixed Model Characteristics Using Varied Random Effect Distributions

Population Intercept (β0) (dB), Mean ± SE Eye-Specific Intercepts (dB), Median (IQR) [Range] Population Slope (β1) (dB/y), Mean ± SE Eye-Specific Slope (dB/y), Median (IQR) [Range] WAIC
Gaussian –3.93 ± 0.06 –2.24 (–5.37 to –0.66) [–26.38 to 5.07] –0.15 ± 0.01 –0.09 (–0.26 to 0.01) [–2.89 to 1.55] 218,562
Student's t –1.87 ± 0.04 −2.15 (–5.15 to –0.79) [–27.75 to 5.87] –0.07 ± 0.01 –0.07 (–0.19 to –0.01) [–6.93 to 6.01] 215,711
Log-gamma –3.80 ± 0.06 –2.10 (–5.19 to –0.66) [–27.47 to 3.40] –0.29 ± 0.01 –0.07 (–0.29 to 0.07) [–6.35 to 1.86] 214,188

Eye-specific intercepts and slopes are estimates derived from the posterior distributions and include both fixed and random effect components. Boldface indicates lowest WAIC, demonstrating best model fit.