Genetic prediction of common diseases is based on testing multiple genetic variants with weak effect sizes. Standard logistic regression and Cox Proportional Hazard models that assess the combined ...

A multiplicative model is proposed for analyzing multifactor experiments which are conducted to study the effect of changes in the levels of the factors on the variance of a chance variable. The model ...

The rationale for multiplicative models in the context of MTMM covariance matrices, as developed by Swain and Browne, is described and illustrated with several sets of empirical data. Comparisons with ...

In a test of equivalence, a treatment mean and a reference mean are compared to each other. Equivalence is taken to be the alternative hypothesis, and the null hypothesis is nonequivalence. The model ...

To capture the "long-memory" effect in volatility, a multiplicative component conditional autoregressive range (MCCARR) model is proposed. We show theoretically that the MCCARR model can capture the ...