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In addition, the GLM method allowed for adjusted, predicted mean LOS and costs of patients in each study group to be directly calculated in the days or dollars scale, thereby avoiding the issue of potentially biased estimates that may result from retransformation of logged coefficients [ 22].
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A generalized linear model was chosen over a log-transformed ordinary linear regression because it estimates covariate-adjusted predicted mean costs on a dollar scale and thus avoids potential biases resulting from the Duan smearing method for retransforming [ 30– 30].
In comparison with ordinary linear regression involving log-transformed cost data, the GLM methodology offers several advantages, primarily because it estimates covariate-adjusted predicted mean costs on a dollar scale, which can then be compared using Student's t-test [ 24- 26].
In comparison with ordinary linear regression involving log-transformed cost data, GLM methodology offered several advantages, primarily because it estimates covariate-adjusted predicted mean costs on a dollar scale, which then can be compared using the Student t test [ 30, 31].
That is a lot of money, making ICOs large in terms of their sheer dollar-scale.
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