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How to Obtain Those Nasty Standard Errors From Transformed Data and Why They Should Not Be Used  (Make Corrections)  
Erik Jørgensen, Asger Roer Pedersen



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Abstract: Introduction When statistical analyses are carried out, it is often neccessary to transform the measured value to make the assumptions used in the statistical analyses valid. When results are reported, the estimated values of e.g. treatment means are often transformed back to the measured or traditional scale. The advantage is that the results become readily comparable with results in similar studies. It has become accepted practice in many scientific journals to indicate the precision of ... (Update)

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BibTeX entry:   (Update)

@misc{ rgensen-how,
  author = "Erik Jørgensen and Asger Roer Pedersen",
  title = "How to Obtain Those Nasty Standard Errors From Transformed Data - and Why
    They Should Not Be Used",
  url = "citeseer.ist.psu.edu/158931.html" }
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520   Generalized linear models (context) - McCullagh, Nelder - 1989
105   Non-linear regression (context) - Seber, Wild - 1989
58   STAT User's Guide (context) - Inc - 1989
1   Analyse af flerdimensionale kovarianskomponentmodeller ved h.. (context) - Pedersen - 1997

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