log-binomial-log-poisson-regression
CommunityEstimate risk ratios and prevalence ratios for binary outcomes
Data & Analytics#logistic regression#risk ratio#prevalence ratio#log-binomial regression#log-poisson regression
Authormrl2013
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides methods to estimate risk ratios and prevalence ratios for binary outcomes, avoiding the OR-RR divergence in logistic regression when outcomes are common.
Core Features & Use Cases
- Risk Ratio Estimation: For cohort studies or prospective longitudinal data, estimate the ratio of cumulative incidence probabilities between groups.
- Prevalence Ratio Estimation: For cross-sectional data, estimate the ratio of probabilities of currently having the condition at a single time point.
- Log-Binomial and Log-Poisson Regression: Provides alternative regression models for binary data when log-binomial fails to converge.
Quick Start
Run the log-binomial regression model on the dataset to estimate the risk ratio between two groups.
Dependency Matrix
Required Modules
proc_genmod
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: log-binomial-log-poisson-regression Download link: https://github.com/mrl2013/p8483-and-p8400-assistant/archive/main.zip#log-binomial-log-poisson-regression Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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