Input data quality control for NDNQI national comparative statistics and quarterly reports: a contrast of three robust scale estimators for multiple outlier detection
<p>Abstract</p> <p>Background</p> <p>To evaluate institutional nursing care performance in the context of national comparative statistics (benchmarks), approximately one in every three major healthcare institutions (over 1,800 hospitals) across the United States, have j...
Main Authors: | Hou Qingjiang, Crosser Brandon, Mahnken Jonathan D, Gajewski Byron J, Dunton Nancy |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2012-08-01
|
Series: | BMC Research Notes |
Subjects: | |
Online Access: | http://www.biomedcentral.com/1756-0500/5/456 |
Similar Items
-
The Box-Cox power transformation on nursing sensitive indicators: Does it matter if structural effects are omitted during the estimation of the transformation parameter?
by: Gajewski Byron J, et al.
Published: (2011-08-01) -
PERBANDINGAN METODE MCD-BOOTSTRAP DAN LAD-BOOTSTRAP DALAM MENGATASI PENGARUH PENCILAN PADA ANALISIS REGRESI LINEAR BERGANDA
by: NI LUH PUTU RATNA KUMALASARI, et al.
Published: (2017-01-01) -
Expressing data and variables
by: Sanjeev Chetry, et al.
Published: (2011-01-01) -
Outliers Detection Models in Shewhart Control Charts; an Application in Photolithography: A Semiconductor Manufacturing Industry
by: Ishaq Adeyanju Raji, et al.
Published: (2020-05-01) -
How to Classify, Detect, and Manage Univariate and Multivariate Outliers, With Emphasis on Pre-Registration
by: Christophe Leys, et al.
Published: (2019-04-01)