Location: San Francisco, USA
Date: January 16, 2007
This 1-day hands-on workshop offers an introduction to the fundamental principles and concepts in statistics.
The first part covers 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 is presented. The second part addresses, with the help of real-life examples, the principles underlying statistical testing and decision-making in the presence of uncertainty. It covers risks involved (alpha and beta), p-values and statistical significance. The use and interpretation of confidence intervals is also discussed. This course can serve as an introductory class or a refresher and provides a solid basis for all other courses.
Location: San Francisco, USA
Date: January 17-18, 2007
This 2-day hands-on workshop presents classical techniques to design efficient experiments as well as the tools to analyze their results. The principles of sample size calculations, strategies to remove undesirable sources of variability like the use of blocks and controls, as well as the most commonly used experimental designs are discussed. The statistical analysis of designed experiments is progressively introduced, starting with the t-test method used to compare two groups. Then, the analysis of variance technique (ANOVA) is 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 are also presented.
Location: San Francisco, USA
Date: January 19, 2007
This 1-day workshop uses a variety of case studies to present the most important aspects to consider for a sound determination of product shelf life.
Starting from the assessment of the differences between shelf-life and stability studies, participants learn for each type of study how to design efficient experiments to determine the failure time of products accurately. The issues discussed include the timepoint selection, how to handle destructive testing, the experiment size and the choice of samples.
The workshop also emphasizes 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 are discussed.
Location: San Francisco, USA
Date: January 22-26, 2007
This 5-day workshop is targeted toward non-statisticians utilizing statistical methodsand statisticians interested in the practical aspects and applications of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Correlation Analysis.
During the workshop, emphasis is put on the principles and the conditions of utilization of each method, the results they provide and their interpretation. Plenty of time is devoted to case studies and interpretation of software output. Participants are invited to use their own statistical software with the instructors' guidance. They are also encouraged to use their data for the hands-on exercises.
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