Facilitating the Calculation of the Efficient Score Using Symbolic Computing.

ABSTRACT: The score statistic continues to be a fundamental tool for statistical inference. In the analysis of data from high-throughput genomic assays, inference on the basis of the score usually enjoys greater stability, considerably higher computational efficiency, and lends itself more readily to the use of resampling methods than the asymptotically equivalent Wald or likelihood ratio tests. The score function often depends on a set of unknown nuisance parameters which have to be replaced by estimators, but can be improved by calculating the efficient score, which accounts for the variability induced by estimating these parameters. Manual derivation of the efficient score is tedious and error-prone, so we illustrate using computer algebra to facilitate this derivation. We demonstrate this proces

SUBMITTER: Sibley A 

PROVIDER: S-EPMC6092959 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature