causal-handbook
importedsoftware/causal-handbook
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…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- nhsengland
- Country
- unknown
- Repository
- github.com/nhsengland/causal-handbook
- Documentation
- unknown
- Tags
- causal-inference · data-science · epidemiology · evaluation · public-health
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- causal-tutcausal-inference · epidemiology
Clinical causal inference tutorial with R: DAGs, propensity scores, IPW, double robustness, TMLE, and E-values for observational studies and target trials
- hte-prediction-rctscausal-inference · epidemiology
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."
- TMLE-explaincausal-inference · epidemiology
Animated educational video generator for Targeted Maximum Likelihood Estimation (TMLE) causal inference using Manim animations and Chinese TTS narration
- frd-scoreevaluation
Official implementation of the Fréchet Radiomic Distance
- PRONEevaluation
R Package for preprocessing, normalizing, and analyzing proteomics data
- api.github.com/repos/nhsengland/causal-handbookretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-02-03, 13 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/35.json→ .entries["causal-handbook"]
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