The missing test in survey regression models
Read OriginalThis technical article discusses statistical hypothesis testing in survey regression models, focusing on the gap in the 2x3 table of test types (likelihood ratio, Wald, score) scaled by either population Fisher information or sample covariance. It explains traditional Rao-Scott tests and Wald-type tests, then introduces a 2007 paper proposing a missing likelihood-ratio test using sample variance scaling, adapted from GEE to survey sampling.
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