Audrey Schnell, PhD

Statistical Consultant and Instructor

Audrey Schnell is a professional statistical consultant with a Master’s Degree in Clinical Psychology and a PhD in Epidemiology and Biostatistics.

Consulting brings together her two passions — research and helping people.

Her expertise includes Biostatistics, Case Control Studies, Statistical Genetics, Epidemiology Cohort Studies, Longitudinal Studies, SQL, Propensity Matching, Linear Models, General Linear Mixed Models, Gerneralized Linear Mixed Models, Logistic/Ordinal/Multinomial Regression, Inter-rater Reliability, Small Sample Statistics, and Exploratory Factor Analysis. She uses SAS and SPSS.

She began her career in clinical psychology, and soon realized her love for research and, in particular, data analysis.

Audrey moved into the emerging field of genetic epidemiology and statistical genetics, and worked on a wide variety of common diseases believed to have a strong genetic component including hypertension, diabetes and psychiatric disorders. She helped develop software to analyze genetic data and taught classes in the US and Europe.

Audrey has worked in industry as well as for a number of different institutions, including Case Western Reserve University, Cedars-Sinai, University of California at San Francisco and Johns Hopkins. For the last several years, a portion of her work involves analyzing complicated cardiovascular imaging data with an emphasis on repeated measures analysis.

The Craft of Statistical Analysis Webinars

All of these were taught by Audrey and access to all recordings are available at no charge.

• Types of Reliability

Audrey’s Blog Posts

• Best Practices for Data Preparation
• Chi-Square Test of Independence Rule of Thumb: n > 5
• What is Kappa and How Does It Measure Inter-rater Reliability?
• The Secret to Importing Excel Spreadsheets into SAS
• How to Understand a Risk Ratio of Less than 1
• What Is Regression to the Mean?
• What Is Reliability and Why Does It Matter
• Member Training: Small Sample Statistics
• The Difference Between Relative Risk and Odds Ratios