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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Arranging and Visualizing Data in R (Cuorsera)

This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R and its companion, RStudio. Then, they will read data into the R environment and prepare it for summary and analysis. A wide [...]

Logistic Regression and Prediction for Health Data (Coursera)

This course introduces learners to the analysis of binary/dichotomous outcomes. Learners will become familiar with fundamental tests for two-group comparisons and statistical inference plus prediction more broadly using logistic regression. They will understand the connection between prevalence, risk ratios, and odds ratios. By the end of this course, learners [...]

Linear Regression Modeling for Health Data (Coursera)

This course provides learners with a first look at the world of statistical modeling. It begins with a high-level overview of different philosophies on the question of 'what is a statistical model' and introduces learners to the core ideas of traditional statistical inference and reasoning. Learners will get their [...]