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Introduction to Statistical Analysis of Laboratory Data

 
  July 13, 2015  
     
 
Center for Professional Innovation & Education, Inc., Malvern, PA
October 22 & 23, 2015


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. Topic areas to be discussed include, but are not limited to:
  • Basic statistical terminology including simple statistics as well as geometric ( e.g. means, standard deviations) transformations needed to effectively communicate and understand your data results
  • The statistical testing (one sided, two sided, non parametric, sample size, and power considerations) essentials required to initiate a research investigation (i.e., research questions in statistical terms)
  • Concepts of accuracy and precision in measurement analysis to ensure appropriate conclusions in experimental results including between and within laboratory variation results
  • Discussion of statistical techniques to compare experimental approaches with respect to specificity, sensitivity and linearity

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
 
 
Organized by: Center for Professional Innovation & Education
Invited Speakers:

Dr. Al Bartolucci

Specialties: Management

Dr. Al Bartolucci is Emeritus Professor of Biostatistics at the University of Alabama where he also serves as a Senior Scientist at the Center for Metabolic Bone Diseases, AIDS Research Center and Cancer Center.

He previously served as Chairman of the Department from 1984 through 1997. He has also taught Statistical Software courses involving Data Exploration, ANOVA/Regression and Design of Experiments. His teaching experience includes areas such as, Clinical Trials, Survival Analysis, Multivariate Analysis, Regression Techniques and Environmental/Industrial Hygiene Sampling and Analysis, Bayesian Statistics, and Longitudinal Data Analysis.

Dr. Bartolucci received his PhD in Statistics from the State University of New York at Buffalo and his MA in Mathematics from Catholic University, Washington DC, and his BA in Mathematics from Holy Cross.

 
Deadline for Abstracts: n/a
 
Registration: CLICK HERE TO REGISTER
E-mail: info@cfpie.com
 
   
 
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