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causal-tut

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software/causal-tut

Clinical causal inference tutorial with R: DAGs, propensity scores, IPW, double robustness, TMLE, and E-values for observational studies and target trials

Machine-generated from the listed sources and not yet reviewed by a human.

causal-tut project image
GitHub preview card for htlin222/causal-tut. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
biostatistics · causal-inference · clinical-research · double-robustness · e-value · epidemiology · ipw · observational-studies
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Estimation of the observational analogs of the intention-to-treat and per-protocol effects of hypothetical treatment strategies

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    Learn R statistics for clinical research with AI assistance—interactive Quarto tutorial from zero programming knowledge to publication-ready biostatistics analysis.

  • MedBio-DataFlowbiostatistics · clinical-research

    An open-source, lightweight Python toolkit for automated clinical data biostatistics and multi-omics sample preparation.

sources
  1. api.github.com/repos/htlin222/causal-tut
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-28, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/16.json→ .entries["causal-tut"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.