National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 1 of 1 Research Studies DisplayedZhu Y, Chen CY, Matsuyama Y
Comparative validity of methods to select appropriate cutoff weight for probabilistic linkage without unique personal identifiers.
The researchers aimed to assess the validity of probabilistic linkage in the absence of unique personal identifiers (UPI) and the methods of cutoff weight selection. They found that probabilistic linkage without UPI generated valid linkages when an optimal cutoff was chosen and concluded that histogram inspection, the duplicate method, and the odds formula method can be used in conjunction when a gold standard is not available.
AHRQ-funded; 29020050016I.
Citation: Zhu Y, Chen CY, Matsuyama Y .
Comparative validity of methods to select appropriate cutoff weight for probabilistic linkage without unique personal identifiers.
Pharmacoepidemiol Drug Saf 2016 Apr;25(4):444-52. doi: 10.1002/pds.3832.
.
.
Keywords: Data, Medical Devices, Registries