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...
Gespeichert in:
| Beteiligte Personen: | , , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cary, NC
SAS Institute
2020
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781642958003/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Online resource; title from PDF title page (EBSCO, viewed January 20, 2020) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781642957990 1642957992 9781642958003 164295800X 9781642958010 1642958018 |
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| author | Faries, Douglas E. Zhang, Xiang Kadziola, Zbigniew Siebert, Uwe Kuehne, Felicitas Obenchain, Robert L Haro, Josep Maria |
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| spelling | Faries, Douglas E. VerfasserIn aut Real world health care data analysis causal methods and implementation using SAS Douglas Faries, Xiang Zhang, Zbigniew Kadziola, Uwe Siebert, Felicitas Kuehne Cary, NC SAS Institute 2020 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed January 20, 2020) 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. Medical records Management Data processing Dossiers médicaux ; Gestion ; Informatique Medical records ; Management ; Data processing Zhang, Xiang VerfasserIn aut Kadziola, Zbigniew VerfasserIn aut Siebert, Uwe VerfasserIn aut Kuehne, Felicitas VerfasserIn aut Obenchain, Robert L VerfasserIn aut Haro, Josep Maria VerfasserIn aut |
| spellingShingle | Faries, Douglas E. Zhang, Xiang Kadziola, Zbigniew Siebert, Uwe Kuehne, Felicitas Obenchain, Robert L Haro, Josep Maria Real world health care data analysis causal methods and implementation using SAS Medical records Management Data processing Dossiers médicaux ; Gestion ; Informatique Medical records ; Management ; Data processing |
| title | Real world health care data analysis causal methods and implementation using SAS |
| title_auth | Real world health care data analysis causal methods and implementation using SAS |
| title_exact_search | Real world health care data analysis causal methods and implementation using SAS |
| title_full | Real world health care data analysis causal methods and implementation using SAS Douglas Faries, Xiang Zhang, Zbigniew Kadziola, Uwe Siebert, Felicitas Kuehne |
| title_fullStr | Real world health care data analysis causal methods and implementation using SAS Douglas Faries, Xiang Zhang, Zbigniew Kadziola, Uwe Siebert, Felicitas Kuehne |
| title_full_unstemmed | Real world health care data analysis causal methods and implementation using SAS Douglas Faries, Xiang Zhang, Zbigniew Kadziola, Uwe Siebert, Felicitas Kuehne |
| title_short | Real world health care data analysis |
| title_sort | real world health care data analysis causal methods and implementation using sas |
| title_sub | causal methods and implementation using SAS |
| topic | Medical records Management Data processing Dossiers médicaux ; Gestion ; Informatique Medical records ; Management ; Data processing |
| topic_facet | Medical records Management Data processing Dossiers médicaux ; Gestion ; Informatique Medical records ; Management ; Data processing |
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