The Canadian Journal of Statistics / La Revue Canadienne de Statistique Semiparametric maximum likelihood estimators have recently been proposed for a class of two-phase, outcome-dependent sampling ...

A statistical method that uses individual-level data to estimate the contribution of genes to complex traits is better at identifying shared genetic underpinnings between traits or diseases than an ...

Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

For the multivariate normal mean model when the parameter is restricted to a positively homogeneous cone, Stein-rule or shrinkage versions of restricted maximum likelihood estimators RSMLE are ...

Two estimators of the SNP-based heritability: (1) the Haseman-Elston regression, which is a method of moment, and (2) the Restricted Maximum Likelihood (REML) methods, which is a likelihood-based ...