Training Workshop Materials

Introduction to Missing Data Analysis

• May 19th Lecture 1 Materials - Save the zipped file to your desktop and unzip folder to extract all files
• Link to Lecture 1 Recording
• May 26th Lecture 2 Materials- Save the zipped file to your desktop and unzip folder to extract all files
• Link to Lecture 2 Recording
• June 2nd Lecture 3 Materials- Save the zipped file to your desktop and unzip folder to extract all files
• Link to Lecture 3 Recording
• June 9th Lecture 4 Materials- Save the zipped file to your desktop and unzip folder to extract all files
• Link to Lecture 4 Recording
• June 16th Lecture 5 Materials- Save the zipped file to your desktop and unzip folder to extract all files
• Link to Lecture 5 Recording
• June 23rd Lecture 6 Materials- Save the zipped file to your desktop and unzip folder to extract all files
• Link to Lecture 6 Recording

Short Course Faculty

Sixia Chen, Ph.D.
Assistant Professor of Biostatistics
University of Oklahoma Health Sciences Center
Biostatistics, Epidemiology, and Research Design

Software

Prior to the workshop, please install SAS and R on your laptop. Instructions may be found HERE> Please bring your laptops to each session.

PREREQUISITE:

Basic Linear Algebra including matrix calculations and so on, Basic Mathematical Analysis including integration, derivatives and so on, SAS and R Programming, Linear Regression, Frequency Analysis, Mathematical Statistics.

OUTLINE:

Time Topic / activity

May 19th Lecture 1: Introduction and likelihood-based approach

May 26th Lecture 2: Imputation approach

June 2th Lecture 3: Propensity score approach

June 9th Lecture 4: Multivariate missing data problems

June 16th Lecture 5: Longitudinal data with missing values

June 23th Lecture 6: Applications

Short Couse Faculty Biographical Summaries

Dr. Sixia Chen is Assistant Professor of Biostatistics and Epidemiology at The University of Oklahoma Health Sciences Center (OUHSC). Dr. Chen graduated with a BA in Mathematics from Fudan University at Shanghai, China in 2007 and PhD (2012) in Statistics from Iowa State University. His dissertation developed efficient methods to handle complex survey data with missing values. He has been a full-time faculty member at OUHSC since 2015 and has continued to develop missing data methods as well as survey sampling, nonparametric and semiparametric methods. Dr. Chen have published more than 10 independent research papers in leading statistical journals including Biometrika, Annals of Applied Statistics, and Statistica Sinica and coauthored more than 10 collaborative papers.