Peter EllisI wrote an #rstats blog post to remind myself that just because a log transform improves an ordinary least squares regression in conventional terms (eg makes it more linear and residuals less heteroskedastic), doesn't mean it is more fit for purpose. http://freerangestats.info/blog/2023/07/30/log-transforms
Ben Bolker@peter_ellis would doing log transformed analysis plus bias correction (i.e., compute mean of predicted lognormal distribution, exp(mu + sigma^2/2)) give you the best of both worlds?
Nikolas Kuschnig@bbolker @peter_ellis Yes, if the variable is roughly log-normal, as mentioned below. Interestingly, a small bias remains in this case, but the variance of the estimate is improved (σ at 35 vs 36).