Learn to use Stata to perform basic Bayesian analysis. Bayesian analysis is a statistical paradigm that answers research questions about unknown parameters using probability statements. For example, what is the probability that a person accused of a crime is guilty? What is the probability that treatment A is more cost effective than treatment B for a specific healthcare provider? What is the probability that the odds ratio is between 0.3 and 0.5? And many more.
Advance your R&D experimentation skills via this essential webinar on mixture experiments. A compelling demo lays out what makes mixture design of experiments (DOE) so effective for accelerating your formulation efforts. Discover how to:
• Identify key characteristics leading to a mixture experiment
• Use mixture DOE to create optimal formulations
• Map out your sweet spot with graphical tools
The fuel provided in this 1-hour webinar will kick-start your first formulation designed experiment.
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.
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.
In diesem Kurs werden wir grundlegende Aspekte der Studienplanung und statistischer Datenauswertungen besprechen. Was sollten Sie bei der Studienplanung und der Datenauswertung beachten? Warum gelangen zwei Studien zur gleichen Fragestellung zu unterschiedlichen Ergebnissen? Welche Studienergebnisse sind „bedeutsamer“ als andere und welche Aspekte sollten Sie beim Lesen und Interpretieren statistischer Ergebnisse berücksichtigen? Diese Fragen stehen im Mittelpunkt und werden von uns anhand von medizinischen sowie wirtschafts- und sozialwissenschaftlichen Studien näher erläutert.
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).
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!
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!