Can I use this for outbreak investigations?

Absolutely. The skill includes specific modules for creating epidemic curves with incidence2 and calculating attack rates and risk ratios for exposure analysis.

Can this skill handle causal inference for observational studies?

Yes, it includes comprehensive methods for Directed Acyclic Graphs (DAGs), E-values for sensitivity analysis, and Instrumental Variable (IV) regression to address unmeasured confounding.

What R packages does this skill leverage?

The skill utilizes core epidemiological packages such as epiR, Epi, MatchIt, WeightIt, dagitty, and incidence2 for specialized public health analysis.

Does it support propensity score weighting?

Yes, it provides code patterns for Propensity Score Estimation, Matching, Inverse Probability of Treatment Weighting (IPTW), and balance diagnostics using cobalt.

Epidemiology Methods for R

Name: Epidemiology Methods for R
Author: choxos

bychoxos

0•

数据科学与机器学习

Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.

This skill provides a robust framework for epidemiologists and biostatisticians to perform advanced public health analytics using R. It automates the implementation of domain-specific methods including measures of association, incidence rate calculations, and complex regression modeling. Beyond basic statistics, it facilitates modern causal inference techniques such as Directed Acyclic Graphs (DAGs), propensity score matching, and doubly robust estimation. Whether you are designing a cohort study or investigating an active outbreak, this skill offers standardized code patterns to ensure rigorous and reproducible epidemiological research.

主要功能

01Propensity score analysis via matching, IPTW, and Doubly Robust Estimation

020 GitHub stars

03Advanced regression modeling including Logistic, Poisson, and Log-Binomial methods

04Standardized incidence rate and SMR calculations with person-time splitting

05Causal inference toolkit featuring DAGs, E-values, and Instrumental Variables

06Study design utilities for sample size and power calculations across various designs

使用场景

01Generating real-time epidemic curves and attack rates during public health outbreaks

02Analyzing observational data to estimate treatment effects while controlling for confounding

03Calculating sample size requirements for new clinical cohort or case-control studies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/tidyrmodelling epidemiology-methods

For use in Claude.ai and ChatGPT

主要功能

01Propensity score analysis via matching, IPTW, and Doubly Robust Estimation

020 GitHub stars

03Advanced regression modeling including Logistic, Poisson, and Log-Binomial methods

04Standardized incidence rate and SMR calculations with person-time splitting

05Causal inference toolkit featuring DAGs, E-values, and Instrumental Variables

06Study design utilities for sample size and power calculations across various designs

使用场景

01Generating real-time epidemic curves and attack rates during public health outbreaks

02Analyzing observational data to estimate treatment effects while controlling for confounding

03Calculating sample size requirements for new clinical cohort or case-control studies