Summary
Chapters
Video Info
Jeff Lienert, Doctoral student at both the National Institute of Health—the National Human Genome Research Institute—and the University of Oxford, discusses his research on the impact of patient co-presence in hospitals on administrative data, including his use of data science methods to study health data, data collection, ethical considerations, managing and preparing multiple data sets, special considerations and tools or methods used, statistical software choices, data analysis, findings and unexpected results, things that might be done differently, and recommendations for students considering this type of research.
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Chapter 1: How Did You Become Interested in Using Data Science Methods to Study Health Data?
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Chapter 2: What Is an Example of a Research Project you Have Worked On? How Did You Obtain the Necessary Data?
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Chapter 3: How Did You Accommodate the Ethical Restrictions and Regulations While Conducting This Research?
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Chapter 4: Do You Need to Combine Multiple Datasets to Conduct Your Analysis? How Do You "Clean" and Manage the Data to Prepare it for Analysis?
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Chapter 5: What Special Considerations Did You Have to Make, Given the Size of the Data? What Specific Tools and Methods Did You Use to Conduct Your Analysis?
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Chapter 6: How Does Using R Differ From Using SAS? Did You Use any Special Software of Plug-Ins to Conduct This Research?
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Chapter 7: How Did You Begin to Sort Through and Analyze the Data?
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Chapter 8: What Were the Findings of Your Study? What Were Some of the Surprising or Unexpected Things That Came Up in Your Study?
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Chapter 9: Is There Anything You Would do Differently for This Research Project?
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Chapter 10: What Recommendations Do You Have for Students Considering This Type of Research?
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