Linear Regression Modeling for Health Data
About this course
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 first look at the ever-popular t-test and delve further into linear regression. They will also learn how to fit and interpret regression models for a continuous outcome with multiple predictors. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured exercises.
75/100
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- What the provider tells you
- 24/45
- Who stands behind it
- 35/35
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- 16/20
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What you'll learn
- understand the core ideas of statistical modeling
- interpret the results of a t-test
- fit and interpret linear regression models
- handle multiple predictors in regression analysis
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