I am basing these methods off of a paper that says they 'performed a log conversion and report results following back-transformation'. At first I assumed that meant geometric mean but now I do not think so. Does that just mean they completed the analyses on log-tranformed variables but reported the means un-tranformed? I do not think the geometric mean is what I should be using here after all. Adding a value to the variable dramatically changes the geometric mean. So for example adding .00001 gives me a geomean of 3.55 (SE 0.05) while adding 1 gives me a geomean of 6.13 (SE 0.04). The smaller the constant, the smaller the geomean. This would make sense since the geometric mean of x, y, z = sqrt(x*y*z). But I cannot see a way to determine what constant to add.
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