The most fundamental interpretation of ICCs is as a measure of the proportion of variance of a given outcome variable explained by a factor of interest in an analysis of variance model where it measures the relative homogeneity within groups [ 14, 15].
Sethi also argues that this is part of a larger shift in the social advertising world, away from what he calls "the CP-something model," where advertisers measure their success using metrics like eyeballs (CPM), clicks (CPC), and actions (CPA).
Our second test addresses the pronounced difference in cumulative fitness gains that is predicted under the particular non-transitive model in which the rate of adaptation has not slowed, and the transitive model where the measured deceleration in fitness against the ancestor also indicates a slowing pace of adaptation.
It has been shown that a multivariate model, where traits measured on different sites are treated as different correlated traits, could improve predictive ability (correlation between observed and predicted phenotype) for lines tested in one environment but not in the other, thus capitalizing on correlated information between environments [ 29].
A multivariate model where all three measures of socioeconomic position and maternal age were included revealed essentially the same results for income and educational level, while the elevated risk for women on disability pension disappeared (table 3).
Given a model, the residual deviance is defined as the difference between the deviance for the fitted model and the deviance for the saturated model, where the deviance measures the fit of the model to the unconstrained data points using the appropriate likelihood function (eg, Poisson likelihood, binomial likelihood).
The theory of belief functions is a very important and effective tool for uncertainty modeling and reasoning, where measures of uncertainty are very crucial for evaluating the degree of uncertainty in a body of evidence.
Diebold and Li (2006), taking an explicit out-of-sample forecasting perspective of the term structure of interest rates, showed that the three-factor NS model, where the factor measuring the speed of convergence is fixed beforehand, can also be used to construct accurate term structure forecasts by considering it as a dynamic yield curve model that is capable of capturing its time-varying shape.
Nasrallah et al. [ 22] propose a model where effectiveness is measured according to four domains: Symptoms of disease, treatment burden, disease burden, and health and wellness.
In the bivariate model and in the model where SES was measured by free prescriptions, clients who attended groups (both open and closed) were more likely to quit than those who received one-to-one behavioural support.
