Characterise Tables of an OMOP Common Data Model Instance
Tables in the cdm_reference that contain clinical information
Helper for consistent documentation
Summarise Database Characteristics for OMOP CDM
Helper for consistent documentation of dateRange.
Creates a mock database to test OmopSketch package
OmopSketch: Characterise Tables of an OMOP Common Data Model Instance
Helper for consistent documentation for plots.
Plot the concept counts of a summariseConceptSetCounts output
Create a ggplot2 plot from the output of summariseInObservation()
Create a plot from the output of summariseObservationPeriod()
Visualise the output of summarisePerson()
Create a ggplot of the records' count trend
Create a ggplot2 plot from the output of summariseTrend()
Objects exported from other packages
Generate an interactive Shiny application that visualises the results ...
Helper for consistent documentation of table arguments.
Summarise an omop table from a cdm object
Summarise concept counts in patient-level data
Summarise concept use in patient-level data
Summarise concept counts in patient-level data
Summarise the number of people in observation during a specific interv...
Summarise missing data in omop tables
Summarise the observation period table getting some overall statistics...
Summarise a cdm_reference object creating a snapshot with the metadata...
Summarise person table
Summarise record counts of an omop_table using a specific time interva...
Summarise temporal trends in OMOP tables
Create a visual table from a summariseClinicalRecord() output
Create a visual table from a summariseConceptIdCounts() result
Create a visual table from a summariseInObservation() result
Create a visual table from a summariseMissingData() result
Create a visual table from a summariseObservationPeriod() result
Create a visual table from a summarise_omop_snapshot result
Visualise the results of summarisePerson() into a table
Create a visual table from a summariseRecordCount() result
Create a visual table of the most common concepts from `summariseConce...
Create a visual table from a summariseTrend() result
Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.