La Vanguardia

Sas For Mixed Models: Introduction And Basic Applications

Discover the power of mixed models with SAS Mixed modelsnow the mainstream vehicle for analyzing most research dataare part of the core curriculum in most masters degree programs in statistics and ...
JSTOR Daily

Using SAS PROC MIXED to Demystify the Hierarchical Linear Model

Hierarchical data analyses in different disciplines are reviewed to compare statistical applications of the Hierarchical Linear Model (HLM) software and the SAS MIXED procedure. Similar features of ...
Simon Fraser University

Univariate and Multivariate General Linear Models: Theory and Applications Using SAS Software

Researchers and students of applied statistics and the social and behavioral sciences will find this book indispensable for understanding both general linear model theory and application. The model is ...
Simon Fraser University

Analysis of Variance for Mixed and Random Effect Models

Just as PROC GLM is the flagship procedure for fixed-effect linear models, the MIXED procedure is the flagship procedure for random- and mixed-effect linear models. PROC MIXED fits a variety of mixed ...
Medicine Buffalo

Generalized Linear (Mixed) Models of Post-earthquake Ignitions

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of ...
Nature

FaST linear mixed models for genome-wide association studies

We describe factored spectrally transformed linear mixed models (FaST-LMM), an algorithm for genome-wide association studies (GWAS) that scales linearly with cohort size in both run time and memory ...