Creascience will be offering three of its most popular applied workshops, February 19-22 2008 at the Chicago Executive Conference Center which is conveniently located ten minutes away from the Chicago's O'Hare International Airport and is adjacent to the Marriott O'Hare Hotel.

On February 19 the 1-day workshop Efficient Design & Analysis of Shelf-Life & Stability Studies will use a variety of case studies to present the most important aspects to consider for a sound determination of product shelf-life or stability. Starting from the assessment of the differences between shelf-life and stability studies, participants will learn for each type of study how to design efficient experiments to determine the failure time of products accurately. The issues discussed will include the timepoint selection, how to handle destructive testing, the experiment size and the choice of samples. The workshop will also emphasize the appropriate ways to analyze life data and to adequately interpret and communicate the results obtained. The principle of accelerated shelf-life testing (ASLT) along with the conditions for a successful use will be discussed. For more information and to register .

On February 20 the 1-day hands-on workshop Fundamental Tools in Statistics will cover the fundamental principles and concepts in statistics as well as classical and more recent exploratory data analysis (EDA) techniques to describe data with numerical and graphical tools. The various uses of these methods like outlier detection will be presented. With the help of real-life examples the principles underlying statistical testing and decision-making in the presence of uncertainty will be reviewed. The workshop will also cover risks involved (alpha and beta), p-values and statistical significance. The use and interpretation of confidence intervals will also be discussed.
For more information and to register.

On February 21-22 the 2-day hands-on workshop Introduction to DOE will present classical techniques to design efficient experiments and tools to analyze the collected data. The principles of sample size calculations, strategies to remove and control undesirable sources of variability like the use of blocks and controls, as well as the most commonly used experimental designs will be discussed. The statistical analysis of designed experiments will be progressively introduced, starting with the t-test method used to compare two groups. Then, the analysis of variance technique (ANOVA) will be extensively covered from simple one-factor experiments to more advanced multi-factor situations where the interaction between factors needs to be considered. Multiple comparisons techniques used to locate differences will also be presented. For more information and to register.