Article citations More>> Field, A. (2018). GLM 5: Mixed Designs. In A. Field (Ed.), Discovering Statistics Using IBM SPSS (5th ed., pp. 703-734). SAGE Publications. has been cited by the following ...

In this study, the Von Bertalanffy, Richards, Gompertz, Brody, and Logistics non-linear mixed regression models were compared for their ability to estimate the growth curve in commercial laying hens.

Variable selection for genome-wide association studies is a key focus for bioinformatics researchers in high-performance computing. The rapid growth of biological and biomedical data demands has led ...

Clustering was taken into account in regression analyses with random intercepts using multi-level mixed effects linear models or generalised linear latent and mixed models. Comparison of proportions ...

Statistical approaches to overdispersion, correlated errors, shrinkage estimation, and smoothing of regression relationships may be encompassed within the framework of the generalized linear mixed ...

Pre-trained LGGM outperforms other graph generative models in zero-shot generative capability and can be easily fine-tuned with graphs from specific fields, showing better performance than those ...

Successful new product development advocates for collaboration among different institutions in which technology transfer dispute widely exists. Although several studies have discussed conflict ...

Learn how to select, fit, evaluate, and use a degradation model in SPSS for reliability engineering. Discover the steps, tools, and challenges of degradation analysis.

Second, if the true heritability is used in the linear mixed-effect model, then the corresponding association test can be biased in the presence of Hardy–Weinberg disequilibrium. We provide some ...