risks
importedsoftware/risks
risks: R package for estimating risk ratios and risk differences using regression
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- stopsack.github.io/risks
- Repository
- github.com/stopsack/risks
- Documentation
- unknown
- Tags
- binomial · biostatistics · epidemiology · regression-models
- 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-tutbiostatistics · epidemiology
Clinical causal inference tutorial with R: DAGs, propensity scores, IPW, double robustness, TMLE, and E-values for observational studies and target trials
- inctoolsbiostatistics · epidemiology
Incidence Estimation Tools
- missingdatabiostatistics · epidemiology
missing data handing: visualize and impute
- survival-pipebiostatistics · epidemiology
R pipeline for survival analysis with automatic detection of competing risks, recurrent events, time-varying exposures, and clustering—routes to appropriate statistical methods and generates…
- TMLE-explainbiostatistics · epidemiology
Animated educational video generator for Targeted Maximum Likelihood Estimation (TMLE) causal inference using Manim animations and Chinese TTS narration
- medicaid-utilsbiostatistics · epidemiology
Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file…
- api.github.com/repos/stopsack/risksretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-06-01, 8 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/27.json→ .entries["risks"]
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