Seminars & Workshops

Statistical Seminars Summer 2015

When: July 23 from 3:00 - 3:15 PM

Where: Williams Building, room 238A

Presentation Title: Power calculations for longitudinal and multilevel mixed models

Abstract: Despite the popularity of the general linear mixed model for data analysis, accurate and equally general power and sample size methods and software are not available. Statisticians resort to laborious simulations or rough approximations which are misaligned with the data analysis. We remedy the situation for inference about fixed effects in a wide range of longitudinal and multilevel designs. Establishing power equivalence to general linear multivariate models provides a mix of exact and approximate power calculations. Free and commercial software can be used for many designs. Complex multilevel designs can be handled with a free and open source product that requires only a web browser to use. Examples of longitudinal and multilevel studies will be discussed

Yueh-Yun Chi, PhD
Assistant Professor,
Department of Biostatistics,
University of Florida

Previous Seminars

Statistical Seminars Spring 2013

Plotting multivariate time series in R (hosted by the R Users Group)

Estimating the health benefits of reducing particulate matter air pollution (hosted by the SDBC Methods in Progress Seminar Series)

1)      Roger Peng

Statistical Seminars Spring 2012

Exact Statistical Inference

Supplemental materials form Dr. Christopher Corcoran's Seminar:

Exact Unconditional Sample Sizes for the 2 × 2 Binomial Trial

Tests of Significance for 2 × 2 Contingency Tables

1)     Larry Cook - Exact Logistic Regression

Methods in Progress Talks Summer 2012

1)     Angela Presson - Software for Merging Microsatellite Datasets

2)     Catherine Sherwin - Application of Population Modeling and Optimal Design

Statistical Seminars Fall 2011

Multiple Imputation 

1)     Greg Stoddard - Introduction to Multiple Imputation

2)     Cody Olsen - Multiple Imputation using IVEware in SAS

Mixed Effects Models

1)     Tom Greene - Introduction to Linear Mixed Models

2)     Tom Greene - Introduction to Linear Mixed Models(II)

3)     Jaewhan Kim - Meta Analysis

4)     Rich Holubkov -  

5)     Xiaoming Sheng -  Generalized Linear Mixed Models: Method and Application

6)     Tom Greene - GEE and Generalized Linear Mixed Models

Survival Analysis 2010

1)      Rich Holubkov - Introduction to Survival Analysis

2)      Nan Hu - Survival Analysis Short Course 2: Cox Proportional Hazard Model

3)      Charlie Casper - Survival Analysis Short Course 3: Competing Risks

4)      Tom Greene and Nan Hu - Extending Cox Regression Accelerated Failure Time Models

5)      Nan Hu - Accelerated Failure Time (AFT) Model As An Alternative to Cox Model

6)      Brian Sauer - Modern Approach to Causal Inference

Epidemiology for Statisticians 2010

1)      Carol Sweeney - Design of Case Control Studies

2)      Greg Stoddard - Case-Control Studies:  Statistical Analysis

Bayesian Short Course Series 

1)     Shane Reese - Introduction to Bayesian Methods (I)

2)     Gilbert W. Fellingham - Introduction to Bayesian Methods (II)

3)     Alun Thomas - Markov chain Monte Carlo integration. Methods and examples

SDBC Presentations 2010

1)     Lisa Pappas - Reproducible Research, Example A, Example B

Genetic Epidemiology

1)     Karen Curtin - Case-control association techniques in genetic studies

Contact Us

Williams Building
University of Utah Research Park
Williams Building, 1st floor
295 South Chipeta Way
Salt Lake City, Utah

Parking: south visitor's lot


Camie Derricott
Phone: 801-587-5212
Fax: 801-581-3623


Please use the following text to acknowledge the CCTS Study Design and Biostatistics Center:

"This investigation was supported by the University of Utah Population Health Research (PHR) Foundation, with funding in part from the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant 5UL1TR001067-05 (formerly 8UL1TR000105 and UL1RR025764)."