Examples of specific topics include the use of a concomitant variable
in selecting an experimental design, randomization and concomitant variables
in the design of experiments, analysis of exponentially distributed life-times with two types of failure, testing multivariate normality, statistical aspects of mixing and blending, and distribution of the incubation period for acquired immunodeficiency syndrome (AIDS).
Rosenbaum, The Consequences of Adjustment for a Concomitant Variable
That Has Been Affected by the Treatment, 147 J.
i]'s were all equal and the yearly average of each concomitant variable did not vary from year to year, the problem would reduce to Gerrodette's homoscedastic model (see the Appendix in Link and Hatfield ).
Wildlife management often requires the detection of trends in abundance over time, after adjusting survey counts for concomitant variables that are known to affect observability (e.
In this article we shall consider designing a sampling scheme for the detection of trends in abundance in the presence of concomitant variables.
Here, however, we extend the power analysis to the case of trends in counts adjusted for concomitant variables as in the analysis of covariance (see, e.
Let us consider the usual set-up in analysis of covariance for the one-way classification with k ([[greater than or equal to] 1) covariates or concomitant variables.
A covariance analysis with bermudagrass height as a concomitant variable
and percentage legume ground cover as the dependent variable was performed on the data using PROC GLM (SAS Institute, 1988).
After eliminating the effect of other concomitant variables
the important risk factors that were associated with hypertension were extra salt intake, high body mass index, high waist circumference, and physical inactivity (Table 1).
The empirical ANCOVA model employed later contains 31 concomitant variables, which is far less than the maximum of 70, computed as.
Correlation Between Abutting an HVTL and the Concomitant Variables
An important consideration in ANCOVA is a lack of correlation between the concomitant variables and the factor of interest (often referred to as the treatment).