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SEQTaRget

imported

protocols/seqtarget

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

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

record
Category
Protocols & Guidelines
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
CausalInference
Country
unknown
Documentation
unknown
Tags
as-treated · biostatistics · causal-inference · epidemiology · initiators · intention-to-treat · per-protocol · r-package
Regulatory
unknown
built by · 2

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

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    A practical handbook on causal inference methods for evaluating policy interventions and service changes within the NHS, with a focus on leveraging observational real-world data to generate robust…

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    Predicting treatment effects from RCTs (Circulation: CQO 2019).

  • National_Causalcausal-inference · epidemiology

    Public Available Code to Conduct Analyses in "Evaluating the Impact of Long-term Exposure to Fine Particulate Matter on Mortality Among the Elderly."

sources
  1. api.github.com/repos/CausalInference/SEQTaRget
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 8 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/37.json→ .entries["seqtarget"]

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