Does it handle person-time and incidence rate calculations?

Absolutely. It includes specific methods for calculating incidence rates and splitting person-time using Lexis objects from the Epi package.

Can this skill help with causal inference tasks?

Yes, it provides implementation patterns for Directed Acyclic Graphs (DAGs), Instrumental Variables (IV), and sensitivity analysis using E-values.

Can I use this for outbreak investigations?

Yes, the skill includes specialized patterns for generating epidemic curves and calculating attack rates using the incidence2 and fmsb packages.

Which R packages does this skill support for epidemiology?

It supports a wide range of industry-standard packages including epiR, Epi, epitools, MatchIt, WeightIt, dagitty, and EValue for comprehensive analysis.

Epidemiology Methods in R

Name: Epidemiology Methods in R
Author: choxos

bychoxos

データサイエンスとML

Provides comprehensive R-based methods for epidemiological analysis, study design, and causal inference.

概要

This skill equips Claude with specialized knowledge for conducting rigorous epidemiological research using the R programming language. It covers a broad spectrum of methodologies, ranging from basic measures of association—such as Risk Ratios and Odds Ratios—to advanced causal inference techniques like Propensity Score Matching, Inverse Probability Treatment Weighting (IPTW), and Directed Acyclic Graphs (DAGs). It is particularly useful for researchers and data scientists needing to implement standardized rate adjustments, perform person-time calculations, or design observational studies with precise power and sample size estimations.

主な機能

Implementation of measures of association including Risk Ratios and Odds Ratios using epiR.
Advanced propensity score methods for matching, weighting, and doubly robust estimation.
Causal inference tools for DAG visualization, IV regression, and E-value sensitivity analysis.
Study design utilities for sample size and power calculations in cohort and case-control studies.
Outbreak investigation tools for generating epidemic curves and calculating attack rates.
0 GitHub stars

ユースケース

Designing a clinical study with precise sample size calculations for cohort or case-control designs.
Investigating infectious disease outbreaks by visualizing incidence and calculating risk factors.
Analyzing observational data to estimate treatment effects while controlling for complex confounding.

概要

主な機能

Implementation of measures of association including Risk Ratios and Odds Ratios using epiR.
Advanced propensity score methods for matching, weighting, and doubly robust estimation.
Causal inference tools for DAG visualization, IV regression, and E-value sensitivity analysis.
Study design utilities for sample size and power calculations in cohort and case-control studies.
Outbreak investigation tools for generating epidemic curves and calculating attack rates.
0 GitHub stars

ユースケース

Designing a clinical study with precise sample size calculations for cohort or case-control designs.
Investigating infectious disease outbreaks by visualizing incidence and calculating risk factors.
Analyzing observational data to estimate treatment effects while controlling for complex confounding.