Statistical modelling of mixed effects in longitudinal data combines fixed parameters, representing systematic influences, with random components that account for individual‐ or cluster‐level ...

This course will discuss the concept of random effects, why they are called random effects and how they are incorporated in the framework of mixed models. The primary focus of the course will be to ...

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, ...

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 ...

The quality and safety of a biopharmaceutical is determined by how well its manufacture is controlled. The challenge is that the modeling methods used to develop control strategies sometimes struggle ...

Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection is usually diagnosed via reverse transcription PCR or RT-PCR, but this method is far from perfect. According to one review, ...