Events

  1. Events
  2. Statistics
Online

Regression Modeling Using Stata

This course is intended as an overview of the theoretical concepts necessary to understand regression models and how to implement them using Stata. The concepts will be reinforced with exercises that the participants will work on with the assistance of the instructor.

Online

Panel-Data Analysis Using Stata

This course provides an introduction to the theory and practice of panel-data analysis. After introducing the fixed-effects and random-effects approaches to unobserved individual-level heterogeneity, the course covers linear models with exogenous covariates, linear models with endogenous variables, dynamic linear models, and some nonlinear models.

Online

New-User Intro to Design-Expert Software

Richard Williams, Stat-Ease Consultant, will detail what design of experiments (DOE) can do for you when catalyzed with Design-Expert's world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization and last, but not least, a look into mixture design for optimal formulation. Whether you want to do more with Design-Expert as a current user, or need a better tool for doing DOE, or enlightenment as to what these powerful multifactor-testing methods can do for you, this free webinar will be of great benefit.

Online

Leading-Edge Experiment Design for Aerospace

Via a series of case studies, this webinar demonstrates multifactor testing tools for aerospace R&D. See how Design-Expert empowers experimenters to quickly converge on the “sweet” spot—factor settings that meet all specifications. Engineers and scientists working in the aircraft, space and defense industries will do well by attending this briefing on design of experiments for screening and characterization, response surface methods for optimization (e.g., wing design), and mixture design for optimal formulation (e.g., composites).

Online

DOE Crash Course for Experimenters

Step up your design of experiments (DOE) know-how via this essential briefing on this multifactor-testing tool. A quick demo lays out what makes statistical DOE so effective for accelerating R&D. Discover how:
• Traditional one-factor-at-a-time scientific methods fall flat
• DOE will find your vital few factors and reveal breakthrough interactions
• To strategically choose the right design at just the right time
• Graphical tools point out the right directions and map out your sweet spot
The fuel provided in this 1-hour webinar will kick-start your first designed experiment. Get up to speed, enroll now!

Online

Causal Inference Using Stata: Estimating Average Treatment Effects

Learn how and when to use Stata’s treatment-effects estimators to analyze treatment effects in observational data. Use regression adjustment, inverse probability weights, doubly robust methods, propensity-score matching, and covariate matching to estimate average treatment effects (ATEs) and ATEs on the treated. We will cover the conceptual and theoretical underpinnings of treatment effects as well as many examples using Stata.

Online

NetCourse: Introduction to Stata

Learn how to use all of Stata's tools and become a sophisticated Stata user. You will understand the Stata environment, how to import and export data from different formats, how Stata's intuitive syntax works, data management in Stata, matching and merging, how to analyze subgroups of data, how to reproduce your work and document it for publication and review, how to interact with the Stata community online, and more.

Online

NetCourse: Introduction to Stata Programming

Become an expert in organizing your work in Stata. Make the most of Stata's scripting language to improve your workflow and create concretely reproducible analyses. Learn how branching, looping, flow of control, and accessing stored estimation results can speed up your work and lead to more complete analyses. Learn about bootstrapping and Monte Carlo simulations, too.

Event Conditions

Course registration is binding. Upon cancellation more than 8 working days before the course start date, we invoice 50% of the course fee. Upon cancellation less than 8 working days before the course start date, we invoice the full course fee. Click here to read the full Terms and Conditions!