Meta-regression using the restricted maximum likelihood model was performed in order to explain deviation from the additive model.
To assess the hierarchical structure of the data (center > patient > site), a linear mixed model using the restricted maximum likelihood method (multilevel logistic models for binary outcomes) was constructed to analyse the PPD, mBoP and suppuration, adjusting for factors such as age, gender and past smoke exposure.
Individual families included in the QTL resource were selected based on the large variation in residuals for traits of interest, after accounting for fixed effects, using the restricted maximum likelihood (REML) models described in Isberg et al. [ 24- 26].
A random-effects model (using the restricted maximum likelihood (REML) estimator) was used for the analysis.
Data were analyzed by fitting a linear mixed model using the restricted maximum likelihood method (REML) provided in Genstat, release 10 [ 24].
A mixed model using the restricted maximum likelihood method was used to estimate covariance components, taking into account the random effects of patient and time (before and after fluid loading) and the covariate interaction group × time.
Data were analysed by random effects models using the restricted maximum likelihood (REML) estimation in Genstat 13th edition, release 13.2 (VSN International, Hemel Hempstead, UK).
When the time dependence of Z is modelled using the restricted cubic spline, the performance of the CGPM is less appealing, compared to the benchmark, regarding all the parameters considered into the simulation.
To deal with this unbalanced design, we tested for differences in stable isotopic signatures among ectoparasite species and host tissues (blood and feathers) by applying a linear mixed model (LMM) using the restricted maximum likelihood (REML) estimation method.
67686970 70 We fitted the above model by using the restricted maximum likelihood estimation to obtain the best fitting variance-covariance matrix.
