GLMM is a set of powerful and versatile models that allow data analysts to deal with scenarios that other models cannot. You need a GLMM if:
• You have data that aren’t independent because observations are clustered. For example, your data includes outcome measurements taken on the same subject over time (repeated measures).
• Your outcome variable has some distribution that doesn't result in normally distributed errors. For example, your outcome could be measured in counts, proportions, or categories, or your data simply doesn’t adhere to a normal distribution.
• When you assume variables are independent when they’re not, and/or you try to fit non-normal data to a normal distribution, things get… well, a bit screwy. P-Values will be wrong. Standard errors will be incorrect. And your statistics will be biased.
This is where GLMM comes in. It gives us the ability to make different, more flexible assumptions.
By the end of this workshop, my goal is for you to understand, at a high level, what is actually happening when you run a GLMM. You will be able to implement a GLMM using your own software and have confidence in your results.
This workshop is for you if:
– You are an intermediate user of statistics
– You are comfortable with linear mixed models
– You are comfortable with some form of generalized linear modeling (e.g. logistic regression, count models, etc.)
– You are a researcher or applied statistician, not a theoretical statistician. You are interested in learning how to understand, apply, and interpret GLMMs, not derive them or understand their theory.
– You have attempted learning GLMM on your own and get stuck with all the formula and jargon and just don't see how all that applies to your analysis.
It is NOT for you:
– You are already familiar with and feel very comfortable running and evaluating GLMMs (It is meant to be introductory for those who have the pre-requisites).
– You don't already have a good handle on logistic or Poisson regression. We will review these but it will go too fast if this is new.
– You don't already have a good handle on fitting mixed models. We will review these but it will go too fast if you're still unsure of what random effects are or how to use them.
How Does It Work?
This course is a 8-module live, interactive online workshop from October 26, 2018 to January 3rd, 2019.
All sessions are conducted online via live webinar. You can log in via phone or Internet. You’ll see the instructor’s screen to view the presentation…all from your own home or office.
During each webinar session, the instructor will cover core concepts and steps and will leave plenty of time to ask your own questions.
Have more questions? No problem!
In addition to the eight webinar sessions, you’ll also meet with your instructor for four additional Q&A sessions where you can get additional assistance on workshop concepts, deepen your knowledge, and clarify any questions.
All 8 Workshop Sessions and 8 Q&A Sessions Are Recorded for Your Convenience.
We’ve also included a few bonus videos from some webinars on relevant topics to help your understanding.
• Generalized Linear Models
• Making Sense of Statistical Distributions
• Types of Regression Models and When to Use Them
• Fixed and Random Factors in Mixed Models
• Poisson and Negative Binomial Regression for Count Data
• Binary, Ordinal, and Multinomial Logistic Regression for Categorical Outcomes
You’ll have access to this site and all the related materials and resources for ONE FULL YEAR. That means you can re-watch sessions and ask additional questions again during that 12-month period.
What's Covered in the Workshop?
Module 1: Conceptual Review
-- Linear Mixed Models
-- Generalized Linear Models (not mixed)
-- Connections to GLMM
Module 2: Overview of Generalized Linear Mixed Models Data
-- GLMM Data
-- Gaussian Data and GLMM
-- Displaying GLMM Data
Module 3: Poisson and Negative Binomial Models for Count Data
-- Model Assumptions
-- Model Building
-- Model Interpretation
Module 4: Logistic Models for Binary Data-- Random Intercept and Slopes
Module 5: Ordinal Models for Ordered Categorical Data-- Random Intercept and Slopes
Module 7: Correlated Errors
-- Review: Repeated Measures in LMM
-- Repeated Measures in GLMM
Module 8: Further Topics
-- Missing Values
-- Power and Sample Size
There are eight workshop modules, each with a webinar session and a Q&A session.
Workshop orientation (Optional):
Thursday, October 25, 2018 from 12 Noon - 1pm (EDT)
Live Workshop Dates: Fridays from 12 Noon - 2pm (EDT)
Module 1 – October 26
Module 2 – November 2
Module 3 – November 9
Module 4 – November 16
------ Break Week ------
Module 5 – November 30
Module 6 – December 7
Module 7 – December 14
Module 8 – December 21
Module 1 – November 1
Module 2 – November 8
Module 3 – November 15
------ Break Week ------
Module 4 – November 29
Module 5 – December 6
Module 6 – December 13
Module 7 – December 20
Module 8 – January 3
Remember, everything is recorded and available for you to watch at your convenience, should you be unable to attend a live session.
Also, you have access to all the class materials for a full 12 months from your enrollment date.
Kim has more than a decade of professional and academic experience in regression and linear models, categorical data, generalized linear models, mixed effects models, nonlinear models, repeated measures, and experimental design.
While she enjoys working with all clients, Kim particularly enjoys working with those who feel they have a less-than-perfect relationship with statistics.
Her goal is to spread an appreciation of statistics across many fields of study, starting by making it understandable to those who interact with it.
So what kind of background in statistics do you need?
You will need to have a solid foundation in linear mixed models and logistic regression or count models.
Your Satisfaction Is Guaranteed
As with all our programs, your satisfaction is guaranteed. If you participate fully in a workshop–watch, read, and try out everything included–and find you are not satisfied for any reason, we will give you a full refund, no questions asked. Just notify us within 90 days of purchasing the program.
Q. I haven't taken a statistics course in years. Will I be able to keep up?
As long as you have the suggested prerequisites (listed above), you should be fine. We know you don’t spend all day, every day, running regression analyses!
However, you WILL need to spend some time each week, both going over the modules, and also “getting your hands dirty” with some data. Expect to spend 2-3 hours per week reviewing the concepts and doing the exercises, and re-running class examples on your own.
And if you have questions during the workshop, make sure to attend the Q&A sessions and/or post on the Workshop Center to clarify anything you’re not clear on.
You know how this goes: The more time you put in, the deeper your understanding.
Q. What’s your refund policy?
Your registration fee is fully refundable up to 72 hours before your first class session. No refunds will be granted after the program begins.
Q: Do you offer student discounts?
Yes, we do! Current students with a valid ID can register for up to 40% off the standard rate. Click here to receive our student discount on all our workshops: https://www.theanalysisfactor.com/student-discount-list/
Q: Things are very busy at work right now, and I’m afraid I won’t have time to keep up. How much time per week does this really take?
Each workshop webinar session is 1.5 to 2 hours, whether you attend live or listen to the recording.
We provide exercises, answers and data sets, so you can practice what you’ve learned each week and get help in the Q&As. These will take you a few hours each week, maybe up to 3 or so. The exercises aren’t required—you’re not graded. But we’ve gotten feedback that they’re very helpful, as it allows you to practice and figure out what you did and didn’t understand.
One reminder: You have access to the workshop website, all materials, and a place to ask questions for a year. So if you get behind, you aren’t missing out. You can catch up on your schedule.
Q: I teach/work/sleep during this time and cannot attend live. Is there any way to register and access the webinar sessions later?
You can also download and keep these videos forever, so if you need to refresh your memory at any point in the future, it’s yours to review.
Q: I’m outside the U.S. Can I still participate?
Q: Can I pay with Paypal?
Q: Can I join the Q&A webinars from my tablet or phone?
Q: This really isn’t a good time for me. Will you be offering this workshop again soon?
Have additional questions? We’re here to help! Just email us at firstname.lastname@example.org.