Expected Variables Present: Multi-Site, Exploratory, Longitudinal Analysis


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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 analyses to examine multiple sites. It generates an exploratory analysis summary across time of the proportion of patients who have a given variable to evaluate whether expected concepts are present in a dataset of interest across time.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/778
dc.identifier.urihttps://doi.org/10.24373/pdsp-468
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.subjectExploratory Analysis
dc.subjectLongitudinal Analysis
dc.subjectPerson-Level Analysis
dc.titleExpected Variables Present: Multi-Site, Exploratory, 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 ten columns of data: <br> | Column | Data Type | Definition | |-------------------|-----------|-----------------------------------------------------------------------------------------| |`site` | character | the name of the site being targeted OR "combined" if multiple sites were provided | |`time_start` | date | the start of the time period being examined | |`time_increment` | character | the length of each time period | |`total_pt_ct` | numeric | the total number of patients from the cohort in the domain table | |`total_row_ct` | numeric | the total number of rows associated with patients from the cohort in the domain table | |`variable_pt_ct` | numeric | the number of patients with evidence of the variable | |`variable_row_ct` | numeric | the number of rows with evidence of the variable | |`prop_pt_variable` | numeric | the proportion of patients with evidence of the variable | |`prop_row_variable` | numeric | the proportion of rows with evidence of the variable | |`variable` | character | the name of the variable | {.dqcheck-table}
local.description.vizThis check outputs a line graph that displays the proportion of patients belonging to a given variable & site within each site across a user provided time span. Hovering over a line will display the exact proportion for that site, variable, and time point. Lines can be isolated by clicking on the legend.
local.dqcheck.categoryConsistency
local.dqcheck.clinicalprobeConfirmatory Clinical Data
local.dqcheck.clinicalprobeClinical Follow-Up
local.dqcheck.clinicalprobeClinical Complexity
local.dqcheck.clinicalprobeClinical Consistency
local.dqcheck.measurementTime Series Exploration
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
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQCheck190c99ea-2c5b-47d5-8852-bb306feb0444
relation.isDQResultOfDQCheck.latestForDiscovery190c99ea-2c5b-47d5-8852-bb306feb0444

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Expected Variables Present