A difficulty associated with current hypothesis tests for generalized estimating equations is that, if the working correlation assumption is incorrect, then consistent estimates of the true covariance ...
The inverse probability weighted generalized estimating equations approach (Robins et al. 1994; Robins et al. 1995), effectively removes bias and provides valid statistical inference for regression ...
A categorical variable is defined as one that can assume only a limited number of values. For example, a person's sex is a categorical variable that can assume one of two values. Variables with levels ...
Genome-wide association studies (GWAS) are widely used to uncover novel genetic susceptibility loci for complex genetic diseases. If the true genetic model is known, the association test reflecting ...
A new acentric factor correlation, based on Pitzer’s1 definition of the acentric factor and a correlation of Antoine’s equation,2 accurately predicts the acentric factor of hydrocarbons and other ...