# Models & statistical models

## Learning outcomes

On watching this video, students should be able to:

- Sketch/plot simple theoretical models for continuous outcomes that involve up to 2 explanatory variables, including being able to illustrate confounding and interaction
- List the questions a regression model can answer: Is there a relationship? What it the (nature of the) relationship?
- Explain the terms: simple regression, simple linear model, multivariable regression, and adjusted measure of effect.
- Identify a regression coefficient as an estimate of a measure of effect that is of interest to a study, and hence realise that a regression coefficient is just a point estimate of a population parameter exactly like we’ve encountered in statistical inference with as sample means and proportions.

Corrections:

04:00: The green double headed arrow to illustrate the difference between the reference category and 2^{nd} sample mean for the “yes” category should come all the way down to the reference group line

7:30: I talk about effect modification as the association being dependent on a 3^{rd} variable. You don’t need to think about the modifier as the “3^{rd} variable”, I just stated that because I was emphasising that there are 3 variables in the model.