Designing Big Data Healthcare Studies, Part Two
With Monika Wahi
Liked by 1,207 users
Duration: 1h 44m
Skill level: Advanced
Released: 2/22/2018
Course details
To perform accurate healthcare data analysis, you need to understand epidemiology and basic study design—covered in part one of this training series. But you also have to be able to conduct descriptive and regression analysis and defend your decisions regarding model selection, interpretation, and presentation. Part two of our series on Designing Big Data Healthcare Studies covers the logistics of planning and executing analysis on the analytic data set prepared in the previous course. Instructor Monika Wahi shows how to conduct the analysis and interpret the final model in context of your original hypothesis. Along the way, she teaches about best practices for code naming and arrangement, stepwise selection modeling, odd and prevalence ratios, and relative risk. Using these tutorials, you should be able to design great healthcare studies that take advantage of all that big data has to offer.
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 3 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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