Come learn about the many opportunities open to persons with a background in statistics!

This is a career fair which provides students of any major a unique opportunity to learn about career options in statistics.  In the morning, you will have the opportunity to chat with statisticians from actuarial, aerospace, government, health care, insurance, and pharmaceutical companies from throughout Southern California.  Following the lunchtime speaker, there will be small breakout sessions in which professionals from several different industries will tell you how they spend their work days, the academic preparation and work experience needed, and the current and future opportunities in their fields.  For those ready to begin careers, this is a chance to speak informally with company representatives in the morning and attend free workshops on interviewing skills and resume writing in the afternoon.  A tour of the City of Hope will be available.

1500 East Duarte Road, Duarte, Calif. 91010

Directions:  Take the 210 freeway to Buena Vista, one exit west of the 605 freeway.  Go south on Buena Vista to Duarte Road and turn left.  The main entrance and Platt Conference Center are on the right.  There is free parking along the south side of Duarte Road or in the lot east of the main gate. 

Cost for Event:  Nothing.

SCASA will be offering free 1 year memberships to first time student members at careers day.
 

Contact Rodney Jee at rodneyjee@yahoo.com for more information about sponsorship. 

The Southern California Chapter of the American Statistical Association presents

The 26^th Annual Workshop in Applied Statistics

Advances in Latent Variable Modeling

Professor Bengt Muthén

Professor Emeritus, University of California, Los Angeles

Saturday, March 31, 2007

at

University of California Los Angeles

Change in Parking Directions!

 The parking instructions that were mailed to early registrants directed you to Parking Structure 8 on the UCLA campus. The UCLA Parking Office has changed the parking for the workshop to Parking Lot DD. This parking lot is actually closer to Bradley International Hall. An attendant will be at the parking lot so you can buy your permit from the attendant rather than having to search for a kiosk at which to purchase it.  Please see the revised directions below.

 Walk-in registrations are still available, however, lunch and handouts cannot be guaranteed, so arrive early!

The registration fee includes all workshop materials and handouts, coffee and tea throughout the morning, bagels and pastries before the workshop begins. We look forward to seeing you on March 31st!  You can pick up your workshop materials, have coffee and snacks and socialize from 8:30 to 9:00 a.m. The workshop will begin at 9:00 a.m. sharp.

Please fill out the registration PDF version or Word version

Schedule (pdf)

UCLA Map (pdf)    UCLA MAP Enlarged & Marked revised (pdf)   

Directions to Bradley International Hall revised (pdf)

You can also see the UCLA map by clicking here (http://www.ucla.edu/map)

For additional info, contact Harold Dyck hdyck@csusb.edu.

Abstract

This workshop gives an overview of recent developments in statistical analysis with latent variables.  The workshop shows how the idea of latent variables captures a wide variety of statistical concepts, including random effects, sources of variation in hierarchical data, frailties, missing data, finite mixtures, latent classes, and clusters.  The workshop discusses the integration of such statistical latent variable modeling with the traditional latent variable modeling of psychometrics and its focus on measurement error and hypothetical constructs measured by multiple, fallible indicators as seen in item response theory, factor analysis, and structural equation modeling. The integration is possible using a general latent variable framework introduced in the Mplus computer program (www.statmodel.com).  The uniqueness of this framework comes from using a combination of continuous and categorical latent variables in conjunction with random intercepts and slopes in multilevel data.  In this way, Mplus combines several different types of programs:  SEM, latent class analysis, IRT, multilevel analysis, survival analysis, and complex survey data analysis - all fully integrated in the general latent variable framework.  The workshop discusses a variety of applications within this unifying framework, combining such different analysis types as factor models, growth curve models, multilevel models, latent class models, latent transition models, loglinear modeling, complier-average causal effect estimation in randomized trials, growth mixture modeling with latent trajectory classes, non-ignorable missing data models, finite mixture models, discrete- and continuous-time survival models, as well as combinations of such models.  Different outcome types are handled, such as continuous, censored, count, zero-inflated, semi-continuous, and categorical.  Analyses of several public health examples are exemplified in terms of Mplus input and output.

 (Professor Muthén’s website for Mplus )

 Professor Muthén

 Dr. Muthén received his Ph.D. in Statistics at the University of Uppsala, Sweden and is Professor Emeritus at UCLA.   He was the 1988-89 President of the Psychometric Society.  His research interests focus on the development of applied statistical methodology in areas of public health, social and behavioral sciences.  He has made numerous contributions to the field of latent variable modeling.  Dr. Muthén is one of the developers of the Mplus computer program, which implements many of his statistical procedures.