Philip S. Boonstra

Phil is a faculty member and biostatistician in the Department of Biostatistics at the University of Michigan, Ann Arbor, USA. He studied Mathematics and Political Science at Calvin College (now Calvin University) in Grand Rapids, MI and received his MS and PhD in Biostatistics in 2009 and 2012, respectively, from the University of Michigan. He loves teaching biostatistics and R and collaborating with physicians and scientists, especially in research related to extracorporeal membrane oxygenation (ECMO) and oncology. When he’s not coding or doing statistics, you will often find him playing board games with his family and friends.

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Linear Regression Modeling for Health Data (Coursera) Coursera
University of Michigan

Linear Regression Modeling for Health Data (Coursera)

Dive into the fundamentals of statistical modeling and linear regression analysis tailored specifically for health data. This course offers a structured approach to understanding and applying key concepts like t-tests and multiple regression models to analyze continuous outcomes in healthcare scenarios. Perfect for professionals looking to refine their skills in data interpretation and application within the medical field.

Jun 15th 2026
3 Weeks
Logistic Regression and Prediction for Health Data (Coursera) Coursera
University of Michigan

Logistic Regression and Prediction for Health Data (Coursera)

Dive into the world of health data analysis with our 'Logistic Regression and Prediction for Health Data' course. This course is designed to equip you with essential skills in analyzing binary outcomes, performing two-group comparisons, and applying statistical inference and prediction through logistic regression. Learn how to effectively use R to compare proportions, fit logistic regressions, make accurate predictions, and evaluate the quality of these predictions. Whether you're a healthcare professional or data enthusiast, this course will enhance your understanding and capabilities in health data analysis.

Jun 15th 2026
3 Weeks
Arranging and Visualizing Data in R (Cuorsera) Coursera
University of Michigan

Arranging and Visualizing Data in R (Cuorsera)

Discover the power of R statistical software with our beginner-friendly course. From installation to visualization, learn essential skills for arranging and interpreting your data effectively. Perfect for novices and professionals alike who want to harness the potential of R in their data analysis projects.

Jun 15th 2026
4 Weeks
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