fctSnPM: Factorial ANOVA and post-hoc tests for Statistical nonParametric Mapping in MATLAB
Robin Trama, Christophe Hautier, Yoann Blache
Abstract
Statistical Parametric Mapping (SPM) is a statistical method originally used in neuroimaging developed in the early 90's in biomedical imaging, allowing to determine which brain zones were solicited during a functional MRI (Friston et al., 1995). Originally developed for a three dimensional analysis, the application of this method to the analysis of vectors or matrices was made possible thanks to Pataky (2010) whom allows to perform statistical inference on curves (vectors -1D) or maps (matrices -2D).
Topics & Concepts
Post hocNonparametric statisticsPost-hoc analysisAnalysis of varianceStatisticsMATLABStatistical analysisStatistical hypothesis testingFactorialFactorial experimentScheffé's methodRepeated measures designMathematicsEconometricsComputer scienceMedicineOrthodonticsOperating systemMathematical analysisRobotics and Sensor-Based LocalizationMedical Image Segmentation TechniquesImage and Object Detection Techniques