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Clinical Trials Data Management and Quality Assurance
In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies through performance monitoring, manage treatment interventions, and implement quality assurance protocols.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks, 1-2 hours per week |
| Starts | Jul 3 (44 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University via Coursera |
| Instructors | Janet Holbrook, PhD, MPH, Ann-Margret Ervin, PhD, MPH, David M. Shade, JD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science |
| Tags | Life Sciences Public Health Research |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks, 1-2 hours per week |
| Starts | Jul 3 (44 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University via Coursera |
| Instructors | Janet Holbrook, PhD, MPH, Ann-Margret Ervin, PhD, MPH, David M. Shade, JD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science |
| Tags | Life Sciences Public Health Research |
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