UCLA Statistical Consulting Classes and Workshops
Classes and Workshops, Spring 2013
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Bayesian Analyses Using SAS, Thursday, April 25, 9 a.m. to 4 p.m. in Math Sciences 5628
Summary: The course focuses on Bayesian analyses using the PHREG,
GENMOD, and MCMC procedures. The examples include logistic regression, Cox
proportional hazards model, general linear mixed model, and the
zero-inflated Poisson model. A Bayesian analysis of a crossover design and a
meta-analysis are also shown. You will learn how to explain the
concepts of Bayesian analysis, illustrate Bayesian analyses in PROC GENMOD,
PROC PHREG and PROC MCMC, incorporate prior distributions in a Bayesian
analysis, and illustrate a Bayesian analysis approach to a meta-analysis.
RSVP for Bayesian Analysis Using SAS:
http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3249&SecID=3238
The data and programs for this class are here .
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Imputation
Techniques in SAS, Friday, April 26, 9 a.m. to 12 noon in Math Sciences 5628
Summary: Concentrating on the needs of those relatively new to the use
of multiple imputation tools in SAS, this course provides a general
introduction to using the MI and MIANALYZE procedures for multiple
imputation and subsequent analyses with imputed data sets. You will
learn how to recognize the type of missing data patterns that exist in your
data sets, analyze imputed data sets using standard SAS procedures, use PROC
MIANALYZE to correctly analyze output from imputed files and subsequent
procedure output from standard SAS procedures.
RSVP for Imputation Techniques in SAS:
http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3250&SecID=3239
The data and programs for this class are here .
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High Performance Analytics, Friday, April 26, 1 p.m. to 4 p.m. in Math Sciences 5628
Summary: This course will illustrate the high performance analytics (HPA)
capability of SAS. Although designed to run on servers and clouds, this
course will show that HPA runs on a laptop. You will also learn about
the new Proc REG, which encompasses GLM, GLMSELECT and REG all in one.
RSVP for High Performance Analytics:
http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3251&SecID=3240
Past Classes and Workshops Available Online
- Stata
- SAS
- SPSS
- Mplus and Latent Variable Analysis
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Introduction to Mplus, Part 1
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Introduction to Mplus, Part 2
- Multilevel Modeling With
Latent Variables Using Mplus: Cross-Sectional Analysis (March, 2009) with movies
- Multilevel Modeling With Latent
Variables Using Mplus:
Longitudinal Analysis
(March, 2009) with movies
-
Growth Modeling with Latent Variables Using Mplus
with movies
- Growth and Multilevel Modeling Using Mplus
with movies
- EFA, CFA, and SEM Using Mplus with movies
- New Methods for Latent Variable Modeling in Mplus with movies
- Statistical Analysis with Latent Variables (a
10 week course) with movies
Professor Bengt Muthén taught this 10 week course on the Statistical Analysis with
Latent Variables during Spring quarter 2004, featuring the program Mplus, see
http://www.statmodel.com. ATS worked with OID and Professor
Muthén to record these lectures so
you may view the video streams of the course.
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General
Latent Variable Modeling using Mplus Version 3 (Professor Bengt Muthén
speaking at SMABS 2004 at Jena University) with movies
- Multilevel Modeling
in Mplus (Professor Bengt Muthén
speaking at Johns Hopkins University) with movies
- Statistical Analysis with Latent Variables
using Mplus
3 (guest speaker Bengt Muthén) with movies
- Latent Class
Analysis (guest speaker Karen Nylund) with movies
- Discrete Time Survival
Analysis, (guest Speaker Katherine Masyn) with movies
- Longitudinal Models with Zero
Inflation, (guest Speaker Frauke Kreuter) with movies
- Introduction to using Mplus 3
with movies
- Introduction to
Mplus - Featuring Confirmatory Factor Analysis (under construction)
- Building Your Mplus Skills
- R
- SUDAAN
- Longitudinal Data Analysis
- Multilevel Modeling
- Survey Data Analysis
- Power Analysis
- Special Topics
- Archival Data
- Other
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University of California.