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@nshlab

NSH Lab

we are a (bio)statistical science research group exploring causal inference, machine learning, and model-agnostic statistics

Welcome to the NSH Lab (pronounced like "niche") GitHub organization. We are a (bio)statistical science research group focused primarily on developing novel theory, methods, algorithms, and open-source software for causal inference and statistical machine learning. We apply our work to data-driven, real-world questions in the biomedical and public health sciences.

Here, you'll find a collection of our open-source software packages implementing the methods that we have developed as well as reproducible research workflows for each of our projects. More information about our research program may be found at https://nimahejazi.org/research.

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  1. qmdprjctmpl qmdprjctmpl Public template

    📋 customized base template for Quarto Manuscript projects

    R 3 1

  2. stat-sim-julia-template stat-sim-julia-template Public template

    template repository for setting up reproducible statistical simulations in Julia.

    Shell

  3. labmeeting labmeeting Public

    📆 calendar of lab meetings

    R 2

  4. nadir nadir Public

    Super learning with flexible formulas!

    R 4 1

  5. haldensify haldensify Public

    Forked from nhejazi/haldensify

    Highly Adaptive Lasso Conditional Density Estimation

    R 1

  6. CausalTables.jl CausalTables.jl Public

    Forked from salbalkus/CausalTables.jl

    A new type of Table to store and simulate data for causal inference in Julia.

    Julia

Repositories

Showing 10 of 12 repositories

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