Unfortunately, in order to measure bias it is necessary to have samples for which the true relative abundances are known, such as model or mock community samples. In this chapter, we propose a ...

When the response functions are the default generalized logits, then inclusion of the keyword _RESPONSE_ in every effect in the right-hand side of the MODEL statement induces a log-linear model. The ...

In this model, the regression parameters have the interpretation in terms of the log seizure rate displayed in Table 29.6 ... These statements first produce the usual output from fitting a generalized ...

The equivalence between the LMM and Bayesian linear regression also implies ... Including the SNP would make the log likelihood of the null model higher than it should be and lead to deflation ...