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OCoLC |
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|a 1136964865
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|a UAMI
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100 |
1 |
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|a Faries, Douglas E.,
|e author.
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245 |
1 |
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|a Real world health care data analysis :
|b causal methods and implementation using SAS /
|c Douglas Faries, Xiang Zhang, Zbigniew Kadziola, Uwe Siebert, Felicitas Kuehne.
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1 |
|a Cary, NC :
|b SAS Institute,
|c 2020.
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|a 1 online resource
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|a Online resource; title from PDF title page (EBSCO, viewed January 20, 2020)
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|a 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.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Medical records
|x Management
|x Data processing.
|
650 |
|
6 |
|a Dossiers médicaux
|x Gestion
|x Informatique.
|
650 |
|
7 |
|a Medical records
|x Management
|x Data processing
|2 fast
|
700 |
1 |
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|a Zhang, Xiang,
|e author.
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700 |
1 |
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|a Kadziola, Zbigniew,
|e author.
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700 |
1 |
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|a Siebert, Uwe,
|e author.
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700 |
1 |
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|a Kuehne, Felicitas,
|e author.
|
700 |
1 |
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|a Obenchain, Robert L,
|e author.
|
700 |
1 |
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|a Haro, Josep Maria,
|e author.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781642958003/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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