The Motley Fool

What Is a Statistical Model? Overview and Example

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
JSTOR Daily

Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression

This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this ...
JSTOR Daily

Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 177, No. 2 (FEBRUARY 2014), pp. 553-564 (12 pages) The paper extends existing models for multilevel multivariate data ...
lse

Multilevel Modelling

This course is available on the MPhil/PhD in Health Policy and Health Economics, MRes in Management (Employment Relations and Human Resources) and MRes in Management (Organisational Behaviour). This ...
New Scientist

What is MRP and can it predict the result of the UK general election?

It stands for multi-level regression and post-stratification. YouGov’s MRP model correctly predicted the 2017 UK general election result, including shock results in seats such as Kensington and ...
University of Bristol

Introduction to Multilevel Modelling Using MLwiN, R or Stata - Workshop

This three-day course provides an introduction to multilevel modelling and includes software practicals in your choice of software: MLwiN, R or Stata. We focus on multilevel modelling for continuous ...
lse

Multilevel Modelling

This course is available on the MPhil/ PhD in Statistics. This course is available as an outside option to students on other programmes where regulations permit. A practical introduction to multilevel ...