Summary
The use of predictions of mean response to different treatments is discussed, for summarizing experimental results analyzed using a generalized linear model. Sufficient conditions are given for these predictions to be equal to the ordinary treatment means. It is argued that predictions on the scale of the linear predictor are also important. Problems of presenting standard errors of correlated summary statistics are also discussed.
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References
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Ridout, M.S. (1987) Predictions on the scale of the linear predictor for generalized linear models. Genstat Newsletter20, 20–30.
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© 1989 Springer-Verlag Berlin Heidelberg
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Ridout, M.S. (1989). Summarizing the Results of Fitting Generalized Linear Models to Data from Designed Experiments. In: Decarli, A., Francis, B.J., Gilchrist, R., Seeber, G.U.H. (eds) Statistical Modelling. Lecture Notes in Statistics, vol 57. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3680-1_30
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DOI: https://doi.org/10.1007/978-1-4612-3680-1_30
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97097-4
Online ISBN: 978-1-4612-3680-1
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