Expected Variables Present Study Results Part IV: SSDQA Comparison


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dc.contributor.authorWieand, Kaleigh
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2026-02-25T19:45:52Z
dc.date.created2026-02-05
dc.description- For many sites, metadata population spikes around 2014/2015 but often drops back down to previous levels - Similar site-level trends are observed in this output as in the cross-sectional output -- Colorado has generally well populated metadata across the time series, while National has next to none (aside from frequency)
dc.description.abstractThe results of an Expected Variables Present check using the Multi-Site, Exploratory, Longitudinal parameters. This check investigates temporal trends in the population of drug metadata fields related to hydroxyurea drug exposure.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/1540
dc.identifier.urihttps://doi.org/10.24373/pdsp-501
dc.publisherPEDSnet
dc.rightsa CC-BY Attribution 4.0 license.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectEvent-Level Analysis
dc.subjectLongitudinal Analysis
dc.subjectMulti-Site Analysis
dc.subjectExploratory Analysis
dc.subject.meshAnemia, Sickle Cell
dc.subject.meshHydroxyurea
dc.titleExpected Variables Present Study Results Part IV: SSDQA Comparison
dc.typestudy
dspace.entity.typeDQResult
local.admin.notev57
local.description.outcomesBased on the variation in metadata population across sites & across the time period, we will instead opt to use the drug exposure start & end date to establish drug exposure windows for our analysis
local.dqcheck.outcomesStudy Methods Revised
local.dqcheck.resultobsDisparate Site Behavior
local.dqcheck.resultobsUnexpected Longitudinal Variation
local.subject.DataProvPEDSnet Data Source
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