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

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

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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.
LF/263893018/R

Data sheet

Name of the Author
Fariesuglas.
Felicitas
Haro
Josep Maria
Kadziola
Kuehne
Obenchain
Robert L.
Siebert
Uwe
Xiang
Zbigniew
Zhang
Language
English
ISBN
9781642957990
Release date
2020

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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...

Write your review

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