This workshop provides an introduction to multilevel modelling using the MLwiN software. Closing date for applications is 4th December 2022.

Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard ...

This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...

T A B Snijders and R J Bosker, Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling, 2nd edition, Sage (2011). S W Raudenbush and A S Bryk, Hierarchical Linear Models: ...

This video will introduce students to twin modeling using R and OpenMx. By the end of the video, students will be able to (1) recognize the major steps involved in an OpenMx model and (2) translate ...

Course Topics R is a powerful open source programming environment primarily known for its statistical capabilities. In this course we will cover some advanced applications of R: distributed computing ...

SAS PROC MIXED is a flexible program suitable for fitting multilevel models, hierarchical linear models, and individual growth models. Its position as an integrated program within the SAS statistical ...

T A B Snijders and R J Bosker, Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling, 2nd edition, Sage (2011). S W Raudenbush and A S Bryk, Hierarchical Linear Models: ...