When interpreting the results of a regression model, the first step is to look at the regression coefficients. Each term in the model has one. And each one describes the average difference in the value of Y for a one-unit difference in the value of the predictor variable, X, that makes up that term. It’s the effect size statistic for that term in the model. [Read more…] about The Difference Between an Odds Ratio and a Predicted Odds

# OptinMon 05 - Probability, Odds and Odds Ratios in Logistic Regression

## Guidelines for writing up three types of odds ratios

Odds ratios have a unique part to play in describing the effects of logistic regression models. But that doesn’t mean they’re easy to communicate to an audience who is likely to misinterpret them. So writing up your odds ratios has to be done with care. [Read more…] about Guidelines for writing up three types of odds ratios

## Logistic Regression Analysis: Understanding Odds and Probability

*Updated 11/22/2021*

Probability and odds measure the same thing: the likelihood or propensity or possibility of a specific outcome.

People use the terms *odds* and *probability* interchangeably in casual usage, but that is unfortunate. It just creates confusion because they are **not equivalent**.

### How Odds and Probability Differ

They measure the same thing on different scales. Imagine how confusing it would be if people used degrees Celsius and degrees Fahrenheit interchangeably. “It’s going to be 35 degrees today” could really make you dress the wrong way.

In measuring the likelihood of any outcome, we need to know [Read more…] about Logistic Regression Analysis: Understanding Odds and Probability

## Odds Ratio: Standardized or Unstandardized Effect Size?

Effect size statistics are extremely important for interpreting statistical results. The emphasis on reporting them has been a great development over the past decade. [Read more…] about Odds Ratio: Standardized or Unstandardized Effect Size?

## Confusing Statistical Term #8: Odds

Odds is confusing in a different way than some of the other terms in this series.

First, it’s a bit of an abstract concept, which I’ll explain below.

But beyond that, it’s confusing because it is used in everyday English as a synonym for probability, but it’s actually a distinct technical term.

I found this incorrect definition recently in a (non-statistics) book: [Read more…] about Confusing Statistical Term #8: Odds

## The Difference Between Logistic and Probit Regression

One question that seems to come up pretty often is:

*What is the difference between logistic and probit regression?*

Well, let’s start with how they’re the same:

Both are types of generalized linear models. This means they have this form:

[Read more…] about The Difference Between Logistic and Probit Regression