When researchers verify the effects of genes or gene–environment interactions on common diseases or age-related diseases, such as diabetes, cancer, or coronary heart disease, they usually regard age ...
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, ...
Log-normal linear regression models are popular in many fields of research. Bayesian estimation of the conditional mean of the dependent variable is problematic as many choices of the prior for the ...
Vol. 21, No. 1, RES CONFERENCE 2016: SPECIAL ISSUE ON MODEL SELECTION AND INFERENCE (2018), pp. 36-54 (19 pages) In this paper, I investigate the estimation of linear regression models with strictly ...