Conference Information

The Conference on Statistical Practice aims to bring together hundreds of statistical practitioners, including data analysts, researchers and scientists, who engage in the application of statistics to solve real-world problems on a daily basis.

The goals of the conference are to provide participants with opportunities to learn new statistical methodologies and best practices in statistical analysis, design, consulting and statistical programming. The conference will also provide opportunities for attendees to further their career development and to strengthen relationships in the statistical community.

Conference Themes

Theme 1: Communication, Impact and Career Development

The objective for the theme is to help participants develop skills and perspectives that will improve their personal effectiveness as statisticians in their roles as managers, strategists, consultants, and collaborators. We are seeking topics and presentations that will enable participants to return to their jobs with new ideas, techniques and strategies to improve their ability to communicate effectively, have a greater impact on their organizations, and advance their careers. Potential topics include...

Presentation and oral communication skills
Career advancement and development

Organizational impact
Best practices in consulting and collaboration
Leadership and management skills
Statistical ethics

Theme 2: Data Modeling and Analysis

The objective for the theme is to provide conference participants with practical knowledge and techniques related to obtaining, creating, modeling, and analyzing datasets of various forms and sizes through the application of established statistical methods. Presentations should feature information relevant to all practicing applied statisticians, regardless of industry or field of expertise. Potential topics include…

Linear models and modern regression methods
Experimental design
Econometrics and time series methods

Categorical data analysis
Sampling design, administration and analysis
Survival and reliability methods
Methods for missing data
Nonparametric methods

Theme 3: Big Data Prediction and Analytics

The objective for the theme is to look at current statistical and algorithmic, practice and methods for solving prediction, decision making, classification and pattern recognition problems from extremely large, unconventional and/or complex data. These include problems in business analytics and data mining. Presentations involving large data applications, and topic surveys focused on tools and algorithms for large data applications are welcomed. Potential topics include…

Data mining and business analytics applications
Exploring and modifying big data

Topic surveys
Ensemble modeling
Model validation and comparison approaches

Theme 4: Software and Graphics

The objective for the theme is to help participants employ analysis or visualization methods using new or existing software. Presentations will focus on the use of computer software to describe, display, or analyze data. Discussions may involve new visualizations, new software, or methods of using existing software more effectively to display and explore data. . Potential topics include…

Software to describe, display or analyze data

Visualization methods to display or explore data