Type I error control for cluster randomized trials under varying small sample structures
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 sett...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2021-04-01
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| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-021-01236-7 |