Take your Statistical Skills to a New Level

You may find yourself with a research question where time is a dependent variable:

• What is the impact of surgery on a lung cancer patient’s five-year survival probability?

• 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.

Unfortunately, regression models that assume normality are not up to the task when the dependent variable is the time to an event. If you try to use a normal distribution, you’ll end up with biased results.

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:

Survival Analysis: Models for Time to Event Data

An 8-Module Online, Live Interactive Workshop
Starts Tuesday, September 11, 2018

I'm Steve Simon, your workshop instructor

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.

In this eight-module live, online workshop, we'll cover:
The fundamental concepts and analyses: censoring, Kaplan-Meier tables, Log Rank tests, survival and hazard curves
Planning a study and data management for survival analysis

How to fit, assess assumptions for, and interpret Cox proportional hazards regression model and parametric survival models, including exponential and Weibull models
Applying and using tricky elements like Schoenfeld residuals, Martingale residuals, proportional hazards, and time-varying covariates

Advanced models such as competing risk models for multiple causes of the event and frailty and cluster models for events that can recur

Who is this workshop for?
Research Professionals
Statistical Consultants

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.

Where Do I Access Recordings and Material?
For each of the eight modules, you will have a set of training resources and material.

As a participant of the Survival Analysis workshop, you can access these for 12-months in our participant-only website, the Workshops Center:
Resources and Materials include:
Data Sets
Real research data sets in csv, Stata, SAS, and SPSS formats.
Syntax and Demo Videos
Step-by-step videos to conduct every example in Stata, SPSS, SAS and R. We give you the code to download so you can save and edit them for your own analysis.
Handouts
Session slides and supplementary material to support your learning.
Session Recordings
Made available within 48 hours so you can review material at your  preferred schedule.
Exercises + Solutions
Try out what you've learned in each module to cement the material. Never get stuck with provided syntax and interpretations.
Forum Access
Q&A Recordings
Can't make a live Q&A? Submit questions ahead of time and get answers from the recording.
Suggested Resources
External videos, articles, or exercises that we recommend to support your learning.

We’ve also included a few bonus videos from some webinars on relevant topics to help prepare you for the workshop content.

Included are:

• 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.

Often, our students report they understand the material at a deeper level on a second or third pass. You’ll learn more every time, so take advantage of it!

“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 1: An Introduction to Kaplan-Meier Curves
Constructing a Kaplan-Meier Curve and Confidence Intervals
Censoring and Its Assumptions
Log Rank Test for Subgroup Comparisons

Module 2: The Hazard Function and the Cox Regression Model
Definition of a Hazard Function and the Cumulative Hazard Function
Constant Hazard vs Increasing or Decreasing Hazard
Steps to Run Cox Regression Models and Interpret Model Coefficients
The proportional hazards assumption, partial likelihood estimation, and test statistics in a Cox model

Module 3: Planning a Survival Analysis Study and Data Management Issues
Data Set Up for Survival Analysis
How to Compute Power and Sample Size estimates
Problems with and Handling of Date Variables
Research Design Issues

Module 4: Model Fitting and Diagnostics for the Cox Model
Multiple Predictor Variables
Proportional Hazards

Module 5: Parametric Survival Models
Comparing Hazard Functions for Popular Distributions
The Exponential and Weibull Distributions and Survival Models
Interpreting Coefficients

Module 6: Time-Varying Covariates in a Cox Model
How to Code Data for Time-Varying Covariates
Fit Time-Varying Models
Interpreting the Results
How Time-Varying covariates account for Non-Proportional Hazards

Module 7: Frailty Models
Multiple Events per Patient
Interval Censoring and Left Truncation
How to Define Random Effects
How to Fit and Interpret the Models

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

Dates and Times:

There are eight workshop modules, each with a webinar session and a Q&A session.

The workshop sessions are approximately 2 hours long, including time for questions.

The Q&A sessions are 60-minutes long.

The schedule is as follows:

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

Q&A Session Dates: Thursdays from 12 Noon - 1pm (EDT)

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.
​​​​​

Full Workshop Investment: \$797

Pay in Full or in 3 installments of \$266 (Your first installment will be billed today and your credit card will automatically be billed every 30 days for the remaining 2 payments)

“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.

Our Software Teaching Assistant

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.

Prerequisites

So what kind of background in statistics do you need?

This workshop is an advanced level workshop. It starts slowly and becomes advanced very quickly. We’re assuming you have solid foundation in linear models.

You should be comfortable with running linear regression models in a statistical software package like SAS, SPSS, Stata, or R and with producing graphs. Some familiarity with basic calculus (integrals and derivatives) and with probability concepts like the density function are also helpful but not absolutely necessary.

If you have questions about whether you’re ready for this class, just email us. We’ll give you our honest opinion. We want you to succeed!

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.

FAQs

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.

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?

We’ve worked hard to make sure you can take a workshop in the midst of your normal work life. We have built in a week off halfway through the workshop in case you get a little behind or need to give your job a little more attention.

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.

In other words, each week, there are approximately 2 hours of instruction, one hour of Q&A, and about 2-3 hours of practice time. So if you have a crazy hectic week during the workshop, you have catch up time. But If you have a crazy hectic month, you may be better off waiting as you won’t really have a chance to catch up.

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?

Yes! We have participants from many time zones with many different work schedules. In order to support our diverse student base, all modules – including the workshop sessions and Q&As — are recorded and made available to students within 48 hours.

They’re screenshot video files, so you’ll hear the instructor talking and see his screen, just as live participants do. You can even submit questions for written answers any time between sessions. Many students take the entire workshop this way, never attending a session live.

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?

Yes. We have participants in our workshops from many different countries. You will want a fast internet connection and either a computer speaker or a telephone if you plan to attend live.

Q: Can I pay with Paypal?

Yes. When you check out, you can pay directly using our system or paying with Paypal. However, the three-payment option is not available using PayPal.

Q: Can I join the Q&A webinars from my tablet or phone?

Yes. You can join all webinar sessions from your Apple or Android device by downloading a free GoToMeeting app. That said, we do show equations on the slide, so a phone will probably be too small to see everything.

Q: This really isn’t a good time for me. Will you be offering this workshop again soon?

We do plan on running this again, but it's not scheduled yet. We try to schedule each workshop every 12-18 months, though very popular workshops may be offered more often. We are sometimes unable to re-run a workshop if the instructor becomes unavailable so there are no guarantees that any workshop will be run again.

If you think you'll need the material in the next year or so, I would suggest registering now. You’ll get all the materials to download and review at your convenience, and you can attend again for free any time in the next 12 months.

Have additional questions? We’re here to help! Just email us at support@theanalysisfactor.com.