Can I use this for causal inference?

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

Is it suitable for outbreak investigations?

Absolutely, it includes specialized tools for generating epidemic curves and calculating attack rates using the incidence2 and fmsb packages.

Which R packages does this skill support?

It supports industry-standard packages including epiR, MatchIt, dagitty, Epi, and survival for comprehensive statistical analysis.

Does it handle propensity score analysis?

It includes detailed methods for propensity score estimation, matching, Inverse Probability Treatment Weighting (IPTW), and doubly robust estimation.

Epidemiology Methods for R

Name: Epidemiology Methods for R
Author: choxos

bychoxos

0•

データサイエンスとML

Performs comprehensive epidemiological analysis in R, covering study designs, causal inference, and measures of association.

This skill provides specialized guidance for conducting epidemiological research and biostatistical analysis using R. It assists researchers and data scientists in implementing standard study designs (cohort, case-control, cross-sectional), calculating incidence rates, and performing advanced causal inference using propensity scores and Directed Acyclic Graphs (DAGs). Whether you are investigating an outbreak with epidemic curves or performing complex regression modeling for confounding control, this skill ensures the use of best-practice packages like epiR, MatchIt, and dagitty to produce robust, reproducible public health insights.

主な機能

01Causal inference tools for DAG adjustment sets and E-value sensitivity analysis.

02Propensity score methods including matching, weighting (IPTW), and doubly robust estimation.

03Advanced regression modeling for logistic, Poisson, and matched case-control studies.

04Study design utilities for sample size and power calculations in public health research.

050 GitHub stars

06Calculation of measures of association including Risk Ratios, Odds Ratios, and Risk Differences.

ユースケース

01Conducting an outbreak investigation with epidemic curves and attack rate calculations.

02Designing epidemiological studies with accurate sample size and person-time requirements.

03Adjusting for confounding in observational studies using propensity score matching or weighting.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/biostatagent epidemiology-methods

For use in Claude.ai and ChatGPT

主な機能

01Causal inference tools for DAG adjustment sets and E-value sensitivity analysis.

02Propensity score methods including matching, weighting (IPTW), and doubly robust estimation.

03Advanced regression modeling for logistic, Poisson, and matched case-control studies.

04Study design utilities for sample size and power calculations in public health research.

050 GitHub stars

06Calculation of measures of association including Risk Ratios, Odds Ratios, and Risk Differences.

ユースケース

01Conducting an outbreak investigation with epidemic curves and attack rate calculations.

02Designing epidemiological studies with accurate sample size and person-time requirements.

03Adjusting for confounding in observational studies using propensity score matching or weighting.