Introduction to Statistical Analysis of Laboratory Data Course

Basic Methods (Day One). This section of the course will detail the basic and intermediate statistical concepts that are essential for professionals in the field. The first day emphasizes the principles of descriptive and inferential statistical applications and focuses on actual study examples, problem solving and interpretation of results. Throughout the course the participants are encouraged to ask questions and discuss examples relevant to their own work.

Advanced Topics (Day Two). This section of the course will go beyond the basics and cover more complex issues in laboratory investigations with examples. Topics will include:

-Association studies including correlation and regression analysis with laboratory applications
-Analysis of robustness and ruggedness
-Method comparison using more accurate alternatives to correlate analysis and other pair-wise comparisons
-Outliers, limit of detection and limit of quantitation
-Statistical quality control for process stability and capability

(Courtsy of Philadelphia, via thefullwiki.org)