Introduction to Survival Analysis, Event History Modeling, and Duration Analysis

This workshop provides an introduction to the increasingly popular methodology of survival/event history/duration analysis in the medical, social, behavioral, economics, business, marketing, and educational sciences.  The fundamental concepts of censoring, survival function and hazard function are initially discussed, and a nonparametric procedure is outlined of survival function estimation and its comparison across groups via the Kaplan-Meier product limit estimator.  The widely used Cox’ proportional hazards model is then focused on.  Methods for examining possible violations of its assumptions are also indicated, as are extensions of the model when they are violated.  Throughout the workshop, illustrative empirical data examples are utilized and the popular statistical package STATA is employed on them. 


Instructor: Dr. Tenko Raykov, Ph.D., is a professor in Counseling, Educational Psychology & Special Education in the Measurement and Quantitative Methods program.

Date: Friday, January 13, 2012

Time: 1:00 PM - 4:00 PM

Location: 106 Farrall Ag. Eng. Hall

Audience: Faculty and graduate students wanting to learn about the methodology of survival/event history/duration analysis


Registration closed. Maximum capacity has been reached.


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Introductory and Intermediate Structural Equation Modeling Link to Event

This workshop deals with introductory and intermediate aspects of the increasingly popular methodology of structural equation modeling (SEM) in the behavioral, educational, social, business, marketing, and biomedical disciplines. Event Link

News & Announcements

Meta-analysis course to be offered

A course on the topic of "Research Synthesis and Meta-analysis" will be offered during the fall 2013 semester. Please see below for more information regarding this course.

Course name: CEP 982
Instructor: Dr. Spyros Konstantopoulos
Short Description:

"Research synthesis and meta-analysis have become very popular in a wide variety of research disciplines that include psychology, education, medicine, ecology, and business.The objectives of this course are several, but the primary focus is to conduct a research synthesis (using meta-analytic methods) in whatever substantive area interests you the most."

To sign up for this course, please follow MSU's standard procedure for course registration.

iCER Summer Workshops

ICER is hosting several training courses this summer for students and faculty interested in learning techniques for high performance computing.

*MPI Workshop (June 17th-18th): This course will cover writing scalable programs using MPI, the standard tool for distributed memory parallel programming. Requires experience programming in C or Fortran. Free.


*Data Intensive Summer School (July 8-10): This course covers the skills needed to manage, process, and gain insight from large amounts of data. Targets researchers from the physical, biological, economic, and social sciences who need to deal with large collections of data. The course will cover the nuts and bolts of data-intensive computing, common tools and software, predictive analytics algorithms, data management, and non-relational database models. Requires only a basic knowledge of fundamental programming concepts. $50 registration fee required for MSU affiliates.

*Proven Algorithmic Techniques for Many-core Processors (July 29 - Aug 2): This course covers the the seven most common and crucial algorithms and data optimization techniques to support successful use of GPUs for scientific computing. The techniques presented in the course can improve performance of applicable kernels by 2-10X in current processors while improving future scalability. Requires experience programming in
C/C++. $50 registration fee required for MSU affiliates.

All courses will be held on the MSU campus in the ICER conference room (1455A first floor of BPS). Lunch is provided. 
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