Self-Controlled Case Series
Check diagnostic for event-dependent exposure
Check diagnostic for event-dependent observation end
Check if rare outcome assumption is violated
Check stability of outcome rate over time
Compute the minimum detectable relative risk
Compute P for pre-exposure risk gain
Check stability of outcome rate over time
Convert JSON to SccsAnalysesSpecifications
Convert SccsAnalysesSpecifications to JSON
Convert untyped list to SccsAnalysesSpecifications
Create age covariate settings
Create calendar time settings
Create control interval settings
Create a parameter object for the createSccsIntervalData()
function
Create a parameter object for the createScriIntervalData()
function
Create a parameter object for the createStudyPopulation()
function
Create default SelfControlledCaseSeries multi-threading settings
Create era covariate settings
Create exposure definition
Create a exposures-outcome combination.
Create a parameter object for the function fitSccsModel
Create a parameter object for the function getDbSccsData
Create the results data model tables on a database server.
Create full SCCS analysis specifications
Create a SelfControlledCaseSeries analysis specification
Create SCCS diagnostics thresholds
Create SCCS era data
Create SelfControlledCaseSeries multi-threading settings
Create SCCS simulation settings
Create Self-Controlled Risk Interval (SCRI) era data
Create seasonality settings
Create a risk window definition for simulation
Create a study population
Create a design matrix for a cyclic spline
Export SCCSresults to CSV files
Fit the SCCS model
Get the attrition table for a population
Get database migrations instance
Load data for SCCS from the database
Get a summary report of the analyses diagnostics
Get file reference
Output the full model
Get specifications for SelfControlledCaseSeries results data model
Get a summary report of the analyses results
Does the model contain an age effect?
Does the model contain a calendar time effect?
Does the model contain a seasonality effect?
Check whether an object is a SccsData object
Check whether an object is a SccsIntervalData object
Load a list of ExposuresOutcome
from file
Load a list of sccsAnalysis from file
Load the cohort method data from a file
Load the cohort method data from a file
Migrate Data model
Plot the age effect
Plot the age ranges spanned by each observation period.
Plot the calendar time effect
Plot the calendar time ranges spanned by each observation period.
Plot time from event to observation end for censored and uncensored ti...
Plot the ratio of observed to expected events over calendar time.
Plot information centered around the start of exposure
Plot the seasonality effect
Run a list of analyses
Save a list of ExposuresOutcome
to file
Save a list of SccsAnalysis to file
Save the cohort method data to file
Save the cohort method data to file
SCCS Data
SCCS Interval Data
SelfControlledCaseSeries: Self-Controlled Case Series
Simulate SCCS data
Upload results to the database server.
Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
Useful links