Training for Pharmaceuticals

MINITAB ESSENTIALS FOR PHARMACEUTICALS

In this 2-day foundational course, you will learn to minimize the time required for data analysis by using Minitab! With Minitab, you will practice importing data, developing sound statistical approaches to explore data, creating and interpreting compelling graphs, and finally, exporting results. Discover how to analyze a variety of real-world pharmaceutical data sets to practice aligning your applications with the right statistical tool and interpreting statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly found in the pharmaceutical industry.

Topics include:

• Importing and Formatting Data
• Bar Charts
• Histograms
• Boxplots
• Pareto Charts
• Scatterplots
• Tables and Chi-Square Analysis
• Measures of Location and Variation
• t-Tests
• Proportion Tests
• Tests for Equal Variance
• Equivalence tests
• Power and Sample Size
• Correlation
• Simple Linear and Multiple Regression
• One-Way ANOVA
• Multi-Variable ANOVA

Prerequisites: None

FACTORIAL DESIGNS FOR PHARMACEUTICALS

In this course, you will learn to generate full and fractional factorial designs using Minitab’s intuitive DOE interface. Real-world medical device applications demonstrate how the concepts of randomization, replication, and blocking form the basis for sound experimentation practices. You will develop the skills to correctly analyze the resulting data to effectively and efficiently reach experimental objectives.

We’ll use Minitab’s customizable graphical displays to interpret and communicate experimental results. The results can be used to improve products and processes, find critical factors that impact important response variables, reduce process variation, and expedite research and development projects.

Topics include:

• Design of Factorial Experiments
• Normal Effects Plot and Pareto of Effects
• Power and Sample Size
• Main Effect, Interaction, and Cube Plots
• Center Points
• Overlaid Contour Plots
• Multiple Response Optimization

Prerequisite: Minitab Essentials for Pharmaceuticals