Office of Inspector General (OIG) Office of Medicare Hearings and Appeals (OMHA) Office of the National Coordinator for Health Information Technology (ONC) Operating Divisions Administration for Children and Families (ACF) Administration for Community Living (ACL) Agency for Healthcare Research and Quality (AHRQ)*.
Statistical Parametric Mapping. SPM (Statistical Parametric Mapping) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been instantiated in software that is called SPM.
Nonparametric Tests. Parametric tests: Require assumptions about population characteristics: normality of the underlying distribution, homogeneity of variance, known mean / variance. Examples: F, z, t tests. Nonparametric tests: Do not require assumptions about population characteristics.Can be used with very skewed distributions or when the population variance is not homogeneous. Can be used with ordinal or nominal data.ecause of violations of parametric tests, we may decide that we need to do one of the nonparametric tests. Two main procedures for ranked data: Wilcoxon test and Kruskal-Wallis test. We ll cover the Wilcoxon test only.