Table 1.

Priors specification for μ and σ of the log-transformed data

Truth	Non-informative priors	Informative priors
μ = 0 (GM = 1)	μ ~ Uniform (ln(0.05), ln(500))	μ ~ Uniform (ln(0.05), ln(50))
σ = 0.7, 1.1, 1.4, 1.6 (GSD = 2, 3, 4, 5)	σ ~ Uniform (ln(1.01), ln(12))	σ ~ Uniform (ln(1.01), ln(4)) if true GSD = 2, 3 σ ~Uniform (ln(3), ln(6)) if true GSD = 4, 5