Neurophysiological studies are often designed to examine relationships between measures from different testing conditions, time points, or analysis techniques within the same group of participants. Appropriate statistical techniques that can take into account repeated measures and multivariate predictor variables are integral and essential to successful data analysis and interpretation. This wo...

OBJECTIVES To introduce multilevel repeated measures (RM) models and compare them with multilevel difference-in-differences (DID) models in assessing the linear relationship between the length of the policy intervention period and healthcare outcomes (dose-response effect) for data from a stepped-wedge design with a hierarchical structure. DESIGN The implementation of national essential medic...

Introduction: Studies have shown that insufficient recovery between sessions causes immune suppression. The aim of this study was to investigate the effect of repeated bouts resistance and endurance exercise on blood leukocytes, lymphocytes, neutrophils, monocytes count and plasma cortisol levels in athlete girls. Materials and methods: 9 athlete girls (ages, 20-25 years), participated i...

This study investigates procedures for controlling the familywise error rate (FWR) when testing hypotheses about multiple, correlated outcome variables in repeated measures (RM) designs. A content analysis of RM research articles published in 4 psychology journals revealed that 3 quarters of studies tested hypotheses about 2 or more outcome variables. Several procedures originally proposed for ...