Take your Statistical Skills to a New Level
You may find yourself with a research question where time is a dependent variable:
• What percentage of job-seekers will receive a job offer within 6 months of completing a training program?
• What is the failure rate of refrigerators designed with a new component?
Survival analysis (also called duration modelling in economics, reliability analysis in engineering, and event history analysis in sociology) is a whole set of statistical methods to turn to in order to answer these questions.
To properly analyze these data, you’re going to have to roll up your sleeves and get your hands into some complex concepts, graphs, formulas, and models.
But they are well worth the effort to master. A solid understanding of the data issues will save you frustration. Being able to choose, run, and interpret the right type of survival analysis model will save you time, improve your research, and allow you to get a lot more done.
Don’t get scared off by the complexity — simplifying complicated concepts is where The Analysis Factor excels, and exactly what we’ll do in our workshop:
By the end of this workshop, my goal is for you to understand key concepts in survival analysis, and be able to choose, run, assess, and interpret the most common types of graphs and models on your own.
Advanced models such as competing risk models for multiple causes of the event and frailty and cluster models for events that can recur
This workshop is for you if:
— You are an intermediate user of statistics and you want to put a powerful statistical skill into your toolbox
— You are interested in a practical, intuitive understanding of the concepts, steps, and interpretation of survival analysis so you can apply it in your own work
— You are comfortable with statistical concepts like hypothesis testing, conditional probability, confidence intervals, testing assumptions, and model building
— You understand and have experience running linear regression and simple analysis of variance models
— You analyze data in a field that sometimes includes time-to-event data, like education, psychology, medicine, engineering, sociology, etc.
It is NOT for you if:
— You do not measure time to events in your data sets
— You do not encounter censored data in your work
— You are a statistician and are looking for a mathematical, theory-based understanding of survival analysis
— You are a complete beginner at statistics and have never run any regression model
“It was a very thorough set of workshops, a good pace, and it should prove to be an asset to my future data analysis projects.”
- David Scott
How Does It Work?
This course is a 8-module live, interactive online workshop from September 11, 2018 to November 6, 2018.
All teaching 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 session, the instructor will cover core concepts and steps and will leave plenty of time to ask your own questions.
But concepts aren't enough.
So for all the examples in a module, we also include the data and syntax to conduct that example in R, SPSS, SAS, and Stata, along with a video demonstrating how to use that code. (Note: there are a few advanced things we're covering in the workshop that SPSS can't do. We'll make that very clear when we get to those).
Have more questions? No problem!
In addition to the eight webinar sessions, you’ll also meet with your instructor for eight 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 prepare you for the workshop content.
• Probability Rules and Applications
• Discrete Time Event History Analysis
• 13 Steps to Running Any Statistical Model
• A Primer on Exponents & Logarithms for the Data Analyst
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.
“The ability to hang on to all of these materials, including the bonus materials is a really great feature. I feel like I have this whole library of references that I can go back to if I need it.”
- Noelle Chesley
What's Covered in the Workshop?
Module 8: Competing Risk Models and a Review
– A Review of the Steps in a Typical Survival Model
– Competing Risk Analysis for modeling occurrence of two competing events
There are eight workshop modules, each with a webinar session and a Q&A session.
Workshop orientation (Optional):
Monday, September 10, 2018 from 12 Noon - 1pm (EDT)
Live Workshop Dates: Fridays from 12 Noon - 2pm (EDT)
Module 1 – September 11
Module 2 – September 18
Module 3 – September 25
Module 4 – October 2
------ Break Week ------
Module 5 – October 16
Module 6 – October 23
Module 7 – October 30
Module 8 – November 6
Module 1 – September 17
Module 2 – September 24
Module 3 – October 1
------ Break Week ------
Module 4 – October 15
Module 5 – October 22
Module 6 – October 29
Module 7 – November 5
Module 8 – November 19
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.
“I regularly take ecourses and like that format, but this is a step better because there are real time webinars and Q&A sessions that permit you to have a recorded version of your particular question getting answered. Can’t ask for more.”
David Fabienke, MPP
Steve Simon's superpower is making complex statistical concepts understandable. He works as an independent statistical consultant and as a part-time faculty member in the Department of Biomedical and Health Informatics at the University of Missouri-Kansas City. He has previously worked at Children’s Mercy Hospital, the National Institute for Occupational Safety and Health, and Bowling Green State University.
Steve has over 90 peer-reviewed publications, four of which have won major awards. He has written one book, Statistical Evidence in Medical Trials, and is the author of a major website about Statistics, Research Design, and Evidence Based Medicine, www.pmean.com. Steve received a Ph.D. in Statistics from the University of Iowa in 1982.
Jeff Meyer is a statistical consultant, instructor, and writer for The Analysis Factor.
As a software specialist for this workshop, Jeff will write the Stata and SPSS code to use in the examples, exercises and demonstrations.
He’ll also attend the live Q&A sessions and monitor the workshop website to answer any Stata and SPSS questions you have.
He has an MBA from the Thunderbird School of Global Management at Arizona State University and an MPA with a focus on policy from the Wagner School of Public Service at New York University.
So what kind of background in statistics do you need?
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. 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. This workshop starts slowly and becomes advanced very quickly.
To get the most out of the workshop, you WILL need to spend some time each week going over the content and also “getting your hands dirty” with some data. Expect to spend 5-6 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 for any reason up to 72 hours before your first class session. Refunds will be granted after the program begins only if you work through the material and find you're not satisfied.
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.
Afterward, we have a one-hour Q&A session. You don’t have to attend, we just make those available so you can get answers to your questions or listen in on others’ questions.
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 email@example.com.