Real world health care data analysis causal methods and implementation using SAS
Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pr...
| Main Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cary, NC
SAS Institute
2020
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Meth |
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| Physical Description: | 1 online resource |
| ISBN: | 164295800X 9781642958010 9781642957990 1642957992 9781642958003 |