In ablack3/Hades: Health Analytics Data-to-Evidence Suite

Below are the packages included in HADES. For each package a link is provided with more information, including instructions on how to install and use the package.

Population-level estimation

• CohortMethod

  New-user cohort studies using large-scale regression for propensity and outcome models.
  Learn more...

• SelfControlledCaseSeries

  Self-Controlled Case Series analysis using few or many predictors, includes splines for age and seasonality.
  Learn more...

• SelfControlledCohort

  A self-controlled cohort design, where time preceding exposure is used as control.
  Learn more...

Patient-level prediction

• PatientLevelPrediction

  Build and evaluate predictive models for user-specified outcomes, using a wide array of machine learning algorithms.
  Learn more...

Evidence Quality

• EmpiricalCalibration

  Use negative control exposure-outcome pairs to profile and calibrate a particular analysis design.
  Learn more...

• MethodEvaluation

  Use real data and established reference sets as well as simulations injected in real data to evaluate the performance of methods.
  Learn more...

• CohortDiagnostics

  Generate a wide set of diagnostics to evaluate cohort definitions against databases in the CDM.
  Learn more...

Supporting packages

• Cyclops

  Highly efficient implementation of regularized logistic, Poisson and Cox regression.
  Learn more...

• DatabaseConnector

  Connect directly to a wide range of database platforms, including SQL Server, Oracle, and PostgreSQL.
  Learn more...

• SqlRender

  Generate SQL on the fly for the various SQL dialects.
  Learn more...

• ParallelLogger

  Support for parallel computation with logging to console, disk, or e-mail.
  Learn more...

• FeatureExtraction

  Automatically extract large sets of features for user-specified cohorts using data in the CDM.
  Learn more...

• Andromeda

  Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
  Learn more...

• BigKnn

  A large scale k-nearest neighbor classifier using the Lucene search engine.
  Learn more...

• ROhdsiWebApi

  Interact with OHDSI WebAPI web services.
  Learn more...

• OhdsiSharing

  Securely sharing (large) files between OHDSI collaborators.
  Learn more...

• Hydra

  Hydrating package skeletons into executable R study packages based on specifications in JSON format.
  Learn more...

• Eunomia

  A standard CDM dataset for testing and demonstration purposes that runs on an embedded SQLite database.
  Learn more...

ablack3/Hades documentation built on Oct. 31, 2020, 9:21 a.m.