Type I Error Rates and Parameter Bias in Multivariate Behavioral Genetic Models
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DOI: 10.1007/s10519-018-9942-y
Abstract: For many multivariate twin models, the numerical Type I error rates are lower than theoretically expected rates using a likelihood ratio test (LRT), which implies that the significance threshold for statistical hypothesis tests is more… read more here.
Keywords: error; type error; error rates; parameter bias ... See more keywords