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Real World Health Care Data Analysis: Causal Methods and...

Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS.

Fariesuglas., Haro, Josep Maria, Kadziola, Zbigniew, Kuehne, Felicitas, Obenchain, Robert L., Siebert, Uwe, Zhang, Xiang
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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. 
Year:
2020
Publisher:
SAS Institute
Language:
english
Pages:
846
ISBN 10:
1642957992
ISBN 13:
9781642957990
File:
PDF, 11.14 MB
IPFS:
CID , CID Blake2b
english, 2020
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