Understanding Probability, Odds, and Odds Ratios in Logistic Regression

by Karen

Odds ratios are the bane of many data analysts. Interpreting them can be like learning a whole new language. This teleseminar will go over an example to show how to interpret the odds ratios in binary logistic regression. You will learn:

  • how probability and odds both measure the same thing on different scales
  • the meaning of odds
  • how to interpret an odds ratio for continuous and categorical predictors in logistic regression

Date: April 4, 2012

Time: 1pm Eastern Time (12pm Central, 11am Mountain, 10am Pacific)

Where: Anywhere you have a fast internet connection

Length of Program: An Hour

Cost: Always FREE

Space is limited.

How do I sign up? Complete the form below to register. Call details will be sent to you via email. The call will be recorded, so if you miss it, you can still listen in, but you have to register.

Name
Email
What questions do you have about this webinar topic?

{ Comments on this entry are closed }

When Can Count Data be Considered Continuous?

Q: How high does the count scale have to be before you can consider it continuous?

I suspect you’re getting at the same issue as in the last question. It’s certainly true that when you get into very large numbers, many of the issues with count variables aren’t issues anymore.

Read the full article →

The Difference Between Eta Squared and Partial Eta Squared

For ANOVAs, two of the most popular are Eta-squared and partial Eta-squared. In one way ANOVAs, they come out the same, but in more complicated models, their values, and their meanings differ.him

Read the full article →

Should You Always Center a Predictor on the Mean?

One problem is that the mean age at which infants utter their first word may differ from one sample to another. This means you’re not always evaluating that mean that the exact same age. It’s not comparable across samples.

So another option is to choose a meaningful value of age that is within the values in the data set. One example may be at 12 months.

Read the full article →

Great statistical resources: StatTrek

I got to pull out my old theoretical stats book to make sure I still remembered the pdf of a binomial distribution (I almost remembered it).

I calculated it out, but wanted to double-check that it was correct, and found this fabulous website for calculating binomial probabilities:

Read the full article →

Interpreting Interactions Between Two Effect-Coded Categorical Predictors

I recently received this great question: Question: Hi Karen,  ive purchased a lot of your material and read a lot of your pdf documents w.r.t. regression and interaction terms.  Its, now, my general understanding that interaction for two or more categorical variables is best done with effects coding, and interactions  cont v. categorical variables is [...]

Read the full article →

Changes at The Analysis Factor

But more importantly, we’ve made a big effort to simplify the website and make it easier to get around. As we’ve grown a lot over the past 3+ years, little bits were added here and there, and it was starting to get a bit jumbled.

So we’ve streamlined. Here are some highlights of the website changes.

Read the full article →

The Repeated and Random Statements in Mixed Models for Repeated Measures

Here’s one example of the flexibility of mixed models, and its resulting potential for confusion and error.

In repeated measures and longitudinal studies, the observations are clustered within a subject. That means the observations, and their residuals, are not independent. They’re correlated. There are two ways to deal with this correlation.

Read the full article →

Khan Acadamy: When you need to relearn math concepts in order to learn statistics

Has this ever happened to you? You need to implement a statistical technique you haven’t encountered before.  Maybe someone told you you need SEM or linear mixed models or logistic regression, for example. Luckily, you’ve found a pretty good book on the topic and are cruising along learning it, when it refers to some mathematical [...]

Read the full article →

Interpreting Linear Regression Coefficients: A Walk through Output

In this webinar we’re doing something a little different – rather than give you an overivew of a topic, we will interpret together the regression coefficients table from a real data set. This data set is from the dissertation of a client I worked with a few years ago.  She has graciously allowed us to [...]

Read the full article →

← Previous Entries