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General linear modeling with multiple responses (MANCOVA). An overall p-value for each model term is calculated by the 50-50 MANOVA method by Langsrud (2002) doi:10.1111/1467-9884.00320, which handles collinear responses. Rotation testing, described by Langsrud (2005) doi:10.1007/s11222-005-4789-5, is used to compute adjusted single response p-values according to familywise error rates and false discovery rates (FDR). The approach to FDR is described in the appendix of Moen et al. (2005) doi:10.1128/AEM.71.4.2086-2094.2005. Unbalanced designs are handled by Type II sums of squares as argued in Langsrud (2003) doi:10.1023/A:1023260610025. Furthermore, the Type II philosophy is extended to continuous design variables as described in Langsrud et al. (2007) doi:10.1080/02664760701594246. This means that the method is invariant to scale changes and that common pitfalls are avoided.
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