Expected Variables Present: Single Site, Exploratory, Cross-Sectional Analysis
| dc.contributor | Patient-Centered Outcomes Research Institute |
| dc.contributor.author | PEDSnet Data Coordinating Center |
| dc.contributor.other | PEDSnet Data Coordinating Center |
| dc.date.accessioned | 2024-09-09T17:20:49Z |
| dc.date.created | 2024-06-05 |
| dc.description.abstract | This check provides analyses for a single site. It generates a screenshot proportion of patients who have a given variable to evaluate whether expected concepts are present in a dataset of interest. |
| dc.identifier.uri | https://hdl.handle.net/20.500.14642/773 |
| dc.identifier.uri | https://doi.org/10.24373/pdsp-464 |
| dc.publisher | PEDSnet |
| dc.relation.uri | https://github.com/ssdqa/expectedvariablespresent |
| dc.rights | a CC-BY Attribution 4.0 License. |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0 |
| dc.subject | Single Site Analysis |
| dc.subject | Exploratory Analysis |
| dc.subject | Cross-Sectional Analysis |
| dc.subject | Person-Level Analysis |
| dc.title | Expected Variables Present: Single Site, Exploratory, Cross-Sectional Analysis |
| dspace.entity.type | DQCheck |
| local.code.package | # install.packages("devtools") devtools::install_github('ssdqa/https://github.com/ssdqa/conceptsetdistribution') |
| local.description.raw | The raw data output of this check produces eight columns of data: <br> | Column | Data Type | Definition | |-------------------|-----------|-----------------------------------------------------------------------------------------| |`site` | character | the name of the site being targeted OR "combined" if multiple sites were provided | |`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.viz | This check outputs a bar graph that summarizes the proportion of patients that meet the criteria (have at least one occurrence of a `concept_id` in the related codeset) for user selected variables. The user can select up to twenty variables. |
| local.dqcheck.category | Completeness |
| local.dqcheck.clinicalprobe | Confirmatory Clinical Data |
| local.dqcheck.clinicalprobe | Clinical Follow-Up |
| local.dqcheck.clinicalprobe | Clinical Complexity |
| local.dqcheck.measurement | Frequency Distribution |
| local.dqcheck.probe | Data Representation Errors |
| local.dqcheck.probe | Misclassification Detection |
| local.dqcheck.probe | Missing Required Data |
| local.dqcheck.requirement | cohort |
| local.dqcheck.requirement | omop_or_pcornet |
| local.dqcheck.requirement | evp_variable_file |
| local.dqcheck.requirement | multi_or_single_site |
| local.dqcheck.requirement | anomaly_or_exploratory |
| local.dqcheck.requirement | output_level |
| local.dqcheck.requirement | age_groups |
| local.dqcheck.requirement | p_value |
| local.dqcheck.requirement | time |
| local.dqcheck.requirement | time_span |
| local.dqcheck.requirement | time_period |
| local.dqcheck.type | Variable Testing |
| local.dqcheck.viz | Bar Graph |
| relation.isCodeOfDQCheck | 929c8dfc-2c8b-4e62-8e1d-0fa06c542832 |
| relation.isCodeOfDQCheck.latestForDiscovery | 929c8dfc-2c8b-4e62-8e1d-0fa06c542832 |
| relation.isDQResultOfDQCheck | 0f88d92f-f61c-4649-adee-e64d363e0c59 |
| relation.isDQResultOfDQCheck.latestForDiscovery | 0f88d92f-f61c-4649-adee-e64d363e0c59 |
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