Expected Variables Present: Multi-Site, Anomaly Detection, Longitudinal Analysis


dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorPEDSnet Data Coordinating Center
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2024-09-09T17:20:49Z
dc.date.created2024-06-05
dc.description.abstractThis check provides raw data and visualizations to aid a user in evaluating whether expected concepts are present in a dataset of interest. It summarizes the proportion of patients with co-occurring variables. This check promotes the identification of anomalous data to compare among sites.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/780
dc.identifier.urihttps://doi.org/10.24373/pdsp-465
dc.publisherPEDSnet
dc.relation.urihttps://github.com/ssdqa/expectedvariablespresent
dc.rightsa CC-BY Attribution 4.0 License.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subjectMulti-Site Analysis
dc.subjectData Anomaly Method
dc.subjectLongitudinal Analysis
dc.subjectPerson-Level Analysis
dc.titleExpected Variables Present: Multi-Site, Anomaly Detection, Longitudinal Analysis
dspace.entity.typeDQCheck
local.code.package# install.packages("devtools") devtools::install_github('ssdqa/https://github.com/ssdqa/conceptsetdistribution')
local.description.rawThe raw data output of this check produces nine columns of data: <br> | Column | Data Type | Definition | |----------------------------------------|-----------|----------------------------------------------------------------------------------------------| |`site` | character | the name of the site being targeted | |`time_start` | date | the start of the time period being examined | |`variable` | character | the name of the variable | |`prop_pt_variable` / `prop_row_variable` | numeric | the proportion of patients or rows (based on user selection) with evidence of the variable | |`mean_allsiteprop` | numeric | the average patient/row proportion across sites | |`median` | numeric | the median patient/row proportion across sites | |`date_numeric` | numeric | the numeric equivalent of time_start | |`site_loess` | numeric | the patient/row proportion with Loess regression applied | |`dist_eucl_mean` | numeric | the Euclidean distance of site_loess from mean_allsiteprop | {.dqcheck-table}
local.description.vizThis check outputs three visualizations to display the Euclidean distance between two time series: the smoothed (Loess) proportion of a user-selected variable for a given site, and the average proportion of all sites. Two line graphs (one smoother, one raw) represent the proportion of the variable at each site over time. Sites are differentiated by color, and a thick red line represente the All Site Average. A circular bar graph displays the Euclidean distance from the all-site mean where the color represents the average Loess proportion over time.
local.dqcheck.categoryConsistency
local.dqcheck.clinicalprobeConfirmatory Clinical Data
local.dqcheck.clinicalprobeClinical Follow-Up
local.dqcheck.clinicalprobeClinical Complexity
local.dqcheck.clinicalprobeClinical Consistency
local.dqcheck.measurementEuclidean Distance
local.dqcheck.probeData Representation Errors
local.dqcheck.probeMisclassification Detection
local.dqcheck.probeTemporality Consistency Check
local.dqcheck.probeExternal Benchmarking
local.dqcheck.probeMissing Required Data
local.dqcheck.requirementcohort
local.dqcheck.requirementomop_or_pcornet
local.dqcheck.requirementevp_variable_file
local.dqcheck.requirementmulti_or_single_site
local.dqcheck.requirementanomaly_or_exploratory
local.dqcheck.requirementoutput_level
local.dqcheck.requirementage_groups
local.dqcheck.requirementp_value
local.dqcheck.requirementtime
local.dqcheck.requirementtime_span
local.dqcheck.requirementtime_period
local.dqcheck.typeVariable Testing
local.dqcheck.vizLine Graph
local.dqcheck.vizRadial Bar Graph
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQCheckd872868e-af25-4fdc-9f60-717320d82f3b
relation.isDQResultOfDQCheck7b0495f2-e8b7-481d-8416-8d0d6e29f404
relation.isDQResultOfDQCheck.latestForDiscoveryd872868e-af25-4fdc-9f60-717320d82f3b

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