Abstract
In pharmaceutical research and development, multiple factors like age, gender, comorbidity, concomitant medication, genetic and environmental factors co-determine the efficacy of the new treatment. In statistical terms we say, they interact with the treatment efficacy.
Keywords
- General Linear Model
- Multiple Linear Regression
- Data File
- Linear Regression Model
- Multiple Linear Regression Model
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© 2016 Springer International Publishing Switzerland
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Cleophas, T.J., Zwinderman, A.H. (2016). Interaction, Random Effect Analysis of Variance (40 Patients). In: SPSS for Starters and 2nd Levelers. Springer, Cham. https://doi.org/10.1007/978-3-319-20600-4_23
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DOI: https://doi.org/10.1007/978-3-319-20600-4_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20599-1
Online ISBN: 978-3-319-20600-4
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