Duan smearing is an empirical method for correcting the bias introduced by taking expectations on transformed data
Questions tagged [duan-smearing]
4 questions
5
votes
2 answers
Using Duan Smear factor on a two-part model
I'm running a two-part model on a health insurance claims dataset where I predict the probability of nonzero health care costs using a logistic regression (1st part), then predict the magnitude of the log health care costs using an OLS regression…

RobertF
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Smearing estimate for cubic root transform in linear regression
I am building a cost model with cubic root transformation of the cost. Hence dependent variable is (cost)^(1/3). Now, am at a stage where i need to re-transform the predicted value to the actual cost. But while re-transforming, i have read that we…

Harsh Khad
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Backtransform a log-odds transformation of the dependent variable in a Fixed Effects panel regression
I'm modeling a fixed effects (within) panel regression for a fractional dependent variable (DV) bounded between 0 and 1. My aim is to model the relationship so that I can predict the frational DV on its original scale.
The relationship between a…

Beethoven_90
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Box-Cox back transformation with indicator in linear regression
I have a fitted linear regression of a Box-Cox transformed dependent variable, using an indicator variable as one of the two predictors :
$$ g(Q, \lambda) = \hat{\beta_0} + \hat{\beta_1}P+ \hat{\beta_2}I +\epsilon = f(P,I) +\epsilon $$
This…

ltr
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