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CAUSALab

A Center to Learn What Works

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  1. gfoRmula Public

    The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…

    R 170 68

  2. GFORMULA-SAS Public

    The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…

    SAS 35 17

  3. pygformula Public

    The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mea…

    Python 27 4

Repositories

Showing 10 of 18 repositories
  • gfoRmula Public

    The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

    R 170 68 3 2 Updated Mar 24, 2025
  • pygformula Public

    The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

    Python 27 MIT 4 3 0 Updated Mar 16, 2025
  • gfoRmulaICE Public

    Implements iterative conditional expectation (ICE) estimators of the plug-in g-formula

    R 9 3 2 0 Updated Dec 2, 2024
  • CAUSALab_Papers Public

    Software used for papers published by CAUSALab members

    R 10 3 0 0 Updated Sep 30, 2024
  • bariatric Public

    Analytic code for bariatric analysis including synthetic data

    R 3 1 0 0 Updated Sep 26, 2024
  • GFORMULA-SAS Public

    The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

    SAS 35 MIT 17 1 0 Updated Sep 17, 2024
  • pytruncreg Public

    Estimation of Gaussian Truncated Regression Models

    Python 2 MIT 0 0 0 Updated Jul 31, 2024
  • CausalCaseControl Public
    SAS 0 0 0 0 Updated Jan 10, 2024
  • MSM-SAS Public
    SAS 5 MIT 5 0 0 Updated May 26, 2022
  • Case_Crossover_Simulations Public
    0 0 0 0 Updated Oct 24, 2021
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R SAS Python