Simon Fraser University5y
Analysis of Variance for Categorical Data and Generalized Linear Models
This process is analogous to performing an analysis of variance on continuous data, which can be performed by PROC CATMOD. If there are n nominal variables, rather than 1, then PROC CATMOD can do an n ...
Simon Fraser University5y
Analysis of Variance for Mixed and Random Effect Models
This general framework accommodates many common correlated-data methods, including variance component models and repeated measures analyses. A few other procedures in SAS/STAT software offer limited ...
BMJ2mon
Examining pacing profiles in elite female road cyclists using exposure variation analysis
ecu.edu.au Objective In this study, the amplitude and time distribution of power output in a variety of competitive cycling events through the use of a new mathematical analysis was examined: exposure ...
Design-Reuse10y
Clock Mesh Variation Robustness: Benefits and Analysis
Simulation and Analysis of OCV Effects Monte Carlo simulation is a method of applying random variations to simulate the manufacturing process. Varying the SPICE “lint” parameter of the NMOS/PMOS ...
Nature12y
Copy Number Variation and Human Disease
Analysis of individual human genomes has revealed an unexpected amount of variability in human populations. Copy number variation (CNV) has recently been identified as a major cause of structural ...