Assessment of Pediatric Anthropometric Data Quality to Guide Analysis and Planning Interpretation (QUAL-AD)
PI(s): Carrie Daymont (Penn State University)
Purpose:
- Evaluate impact of errors in height and weight measurements on study results
- Develop measures of specific aspects of data quality for height and weight
- Make software that measures data quality
Study Design: Data Only Observational
PaTH Partners:
- Geisinger - Les Kirchner
- Johns Hopkins University - Harold Lehmann
- The Ohio State University - Nazhat Taj-schaal
- University of Pittsburgh - Kelsey Schweiberger
- Penn State University - Carrie Daymont (Lead site)
- University of Michigan - Joyce Lee
Sponsor: PCORI®
The Assessment of Pediatric Anthropometric Data Quality to Guide Analysis and Planning Interpretation (QUAL-AD) study is a PCORnet® Study conducted using PCORnet®, the National Patient Centered Clinical Research Network, an initiative funded by the Patient-Centered Outcomes Research Institute (PCORI). More information about PCORnet® can be found here.
The QUAL-AD study was funded by PCORI through PCORI Award (ME-33958).
The statements presented on this website are solely the responsibility of the author(s) and do not necessarily represent the views of other organizations participating in, collaborating with, or funding PCORnet or of PCORI.
Coordinating Center: Penn State University
