John McGready

Since joining the faculty at Hopkins, Dr. McGready has split his time between research collaborations and statistical education. He is the primary instructor for “Statistical Reasoning in Public Health I and II" taught both on campus, and on line, and an instructor for “Statistical Methods in Public Health III " . He is the co-creator and instructor of intensive data analysis workshops offered in the School's Summer Institute of Epidemiology and Biostatistics.
Dr. McGready is also actively involved collaborative research. His efforts include/have included collaborations with Department of Health Policy and Management at Johns Hopkins, the Johns Hopkins University School of Medicine, Anne Arundel County Medical Center, Greater Baltimore Medical Center, and Johns Hopkins Healthcare.
Dr. McGready's research interests include:

  • statistical education
  • small sample properties of both classical and computer driven methods of estimation and inference
  • applications of advanced semi-parametric smoothing techniques to anthropomorphic data
  • exploring unanswered questions from first principles of statistics
  • rectifying differences in interpretation and estimates between mixed effects and GEE approaches to analyzing longitudinal data

In 2001, 2004, 2008 and 2012, Dr. McGready was awarded a Golden Apple Award for excellence in teaching by the on-site student body. In 2001 and 2005 he received the Teaching Award for Excellence in Distance Education, as voted upon by distance education students. In 2010 he received the ASPH/Pfizer Early Career Award for Teaching Excellence, and the Outstanding Teacher Award given by the Teaching Statistics in Health Sciences section of the American Statistical Association.
Prior to coming to Hopkins, Dr. McGready served as a quantitative policy analyst, focusing on criminal justice policy in the United States (federal and state levels). Previously, Dr. McGready also taught high-school-level math in Washington, D.C., and worked as a health care data analyst for Healthcare Investment Analysts (now HCIA/Sachs).
More info: http://www.biostat.jhsph.edu/~jmcgread/

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Multiple Regression Analysis in Public Health (Coursera) Coursera
Johns Hopkins University

Multiple Regression Analysis in Public Health (Coursera)

Dive into Biostatistics with this advanced course that teaches you the application of statistical reasoning in life sciences, specifically focusing on Multiple Regression Analysis. This course is tailored for those working in Public Health who want to improve their data analysis skills and make informed decisions based on multiple variables impacting public health outcomes.

Jun 15th 2026
4 Weeks
Summary Statistics in Public Health (Coursera) Coursera
Johns Hopkins University

Summary Statistics in Public Health (Coursera)

Dive into the world of Biostatistics with our comprehensive course on Summary Statistics in Public Health. Master the application of statistical measurement methods essential for interpreting research findings and evidence in public health. Gain insights into unlocking the potential of gathered data and learn to present scientific literature effectively.

Jun 15th 2026
4 Weeks
Simple Regression Analysis in Public Health (Coursera) Coursera
Johns Hopkins University

Simple Regression Analysis in Public Health (Coursera)

Discover the essential skills of biostatistics with our comprehensive course on Simple Regression Analysis in Public Health. This course will guide you through understanding and applying regression methods to analyze relationships between a single predictor and an outcome of interest within public health research. Perfect for students, researchers, and professionals looking to enhance their data analysis capabilities.

Jun 15th 2026
4 Weeks
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