Pew Research Center

Using fixed and random effects models for panel data in Python

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...
CU Boulder News & Events

Fixed Effects, Random Effects, and Correlated Data

The main focus of this course will be on linear mixed models. That is, linear models with fixed effects and random effects. Some topics we’ll discuss are: When would I want to use a random effect? How ...
JSTOR Daily

Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease-Mapping Models

Disease-mapping models for areal data often have fixed effects to measure the effect of spatially varying covariates and random effects with a conditionally antoregressive (CAR) prior to account for ...
JSTOR Daily

Optimum Tests for Fixed Effects and Variance Components in Balanced Models

For any analysis-of-variance model with balanced data involving both fixed and random effects, uniformly most powerful unbiased (UMPU) and uniformly most powerful invariant unbiased (UMPIU) tests are ...
Nature

Mixed-Effects Location Scale Models in Longitudinal Data Analysis

Mixed-effects location scale models represent a powerful statistical framework designed to investigate longitudinal data. By simultaneously modelling the mean trajectories (location) and residual ...
Investopedia

Random Factor Analysis: What It Is, How It Works, Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...