//Survival Analysis Statistics Training Seminar
Survival Analysis Statistics Training Seminar 2018-04-12T17:43:12+00:00

Survival Analysis and Event History Models in Mplus Seminar

Applied Latent Class Analysis Seminar

This 3 day mini-camp is an intensive short seminar in the fundamentals of survival analysis and event history modeling in Mplus.

If you are interested in statistical modeling techniques that can address questions about not only if an event occurred for individuals in your sample but also when the event occurred for those individuals and what covariates may be related individual differences in event timing, this seminar is for you. You should have a good working knowledge of the principles and practice of multiple regression, logistic regression, and elementary statistical inference. You will get the most out of the seminar if you already have experience with latent growth modeling.  You do not need to know latent class analysis or finite mixture modeling, although that knowledge would be beneficial.  No previous knowledge of survival analysis or Mplus is assumed. Participants from a variety of fields—including psychology, education, human development, public health, prevention science, sociology, marketing, business, biology, medicine, political science, and communication—will benefit from the seminar.

Spring Camp: February 15 – 17, 2019
Atlanta, GA – Embassy Suites


FAQ –  Hotel Reservations

SEMINAR BEGINS – 9AM 02/15/19

Address: 3285 Peachtree Road NE. Atlanta, GA 30305
Last day to book: January 29, 2019 or until block is filled
TO GET THE SPECIAL GROUP RATE MENTION CODE “ST2”
*Special room rates not available if you book through a travel company.
Cancellation: 14 days before arrival to avoid cancellation penalties.
Phone: 404-266-4828
Group Rate Start date: February 14, 2019
Group Rate End date: February 18, 2019

Rooms Options Available:

2 Double Beds $158  per room per night + additional taxes and fees

1 King Bed $148  per room per night + additional taxes and fees

Hotel Reservations: Follow link above or call the Reservations
Team at 404-266-4828 and quote ST2 group code.

Scheduled Social Event: 5:30 – 7:30pm in the Mezzanine area at the Embassy Suites Buckhead on 2/15/19 for all attendees. Please wear your Stats Camp name badges to claim your free drink ticket.

Payment Options

$1,095 Faculty/Professional or $945 Student/Post-Doc

Per Seminar Qty
Professionalshow details + $1,095 (USD)  
Studentshow details + $945 (USD)  

Learning Objectives

After engaging in this 3-day statistics training institute seminar lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:

Gain an understanding of survival analysis and event history models in the general latent variable modeling framework of Mplus. Topics include discrete-time and continuous-time survival analysis for single, non-recurring events, modeling time-invariant and time-varying predictors of event time, and select multivariate event history extensions.  Hands-on practice with Mplus is provided.

Syllabus

Friday  February 15, 2019
9:00-3:00 Introduction to event history data
3:00-3:15 Snack and refreshment break
3:15-5:00 Discrete-time survival analysis (DTSA) in Mplus
5:30-6:30 Keynote by Bengt Muthén
Saturday  February 16, 2019
9:00-9:30 Q & A
9:30-10:45 DTSA with time-varying and time-invariant predictors
10:45-11:00 Snack and refreshment break
11:00-12:30 DTSA for competing risks and recurrent events
12:30-1:30 Lunch break
1:30-3:15 Discrete-time frailty models
3:15-3:30 Snack and refreshment break
3:30-5:00 Sequential and parallel process DTSA
Sunday February 17, 2019
9:00-9:30 Q & A
9:30-10:45 Continuous-time survival analysis (CTSA) in Mplus
10:45-11:00 Snack and refreshment break
11:00-12:30 Cox regression in Mplus
12:30-1:30 Lunch break
1:30-3:15 CTSA with time-varying and time-invariant predictors
3:15-3:30 Snack and refreshment break
3:30-5:00 Multivariate CTSA

Instructor: Katherine Masyn Ph.D.

Katherine Masyn Applied Latent Transition Analysis Statistics Course

Dr. Katherine Masyn (kmasyn@statscamp.org), Associate Professor of Biostatistics at Georgia State University’s School of Public Health, has been a Stats Camp instructor since 2013. She was previously on the faculty at the Harvard Graduate School of Education and received her doctorate in Advanced Quantitative Methods in Social Research at UCLA under the mentorship of Professor Bengt Muthén. Dr. Masyn’s research focuses on the development and application of latent variable statistical models related to: survival and event history analysis; multivariate and multifaceted longitudinal processes, e.g., latent transition growth mixture models; and, more broadly, the characterization and parameterization of both observed and unobserved population heterogeneity in cross-sectional and longitudinal settings, e.g., factor mixture models. Dr. Masyn enjoys close collaborations with colleagues from the fields of Human Development, Education, Psychology, Public Health, and Prevention Science and is known for her enthusiastic instruction on applied latent variable techniques for substantive audiences.

Software and Computer Support

Participants should bring a laptop computer. Instruction will be provided for the methods using the most current version of Mplus (base program with combination add-on). Mplus is available for Windows, Mac, and Linux environments (www.statmodel.com).

Participants who do not have Mplus will be given temporary access to a cloud server with a fully functioning version of the recommended software.

Note: We will also make use of Excel and R to do various post-processing summaries.

Participants will receive an electronic copy of all seminar materials, including PowerPoint slides, Mplus scripts, output files, relevant supporting documentation, and recommended readings.

Seminar Files

Below are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.

Seminar files and downloads will be posted on the first day of class.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily