Abstract Background Linear mixed models (LMM) are a common approach to analyzing data from cluster randomized trials (CRTs). Inference on parameters can be performed via Wald tests or likelihood ratio tests (LRT). but both approaches may give incorrect Type I error rates in common finite sample settings. The impact of different combinations of cluster size. https://medicalwarehouses.shop/product-category/rollator-accessories/