# SNP-MM

**Repository Path**: Tomhappy/SNP-MM

## Basic Information

- **Project Name**: SNP-MM
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-01-16
- **Last Updated**: 2026-01-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# SNP-MM

## Introduction
SAS demostraction for "Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach". Main macro ***SNP_MM()*** is avaiable. We propose a class of hospital compare models that embraces nonparametric mean structures with semi-nonparametric hospital random effects. Such models are further improved and integrated into a zero-inflated model.

## Files
**HCAM** —— Hospital Compare Additive Model

**ZI-HCAM** —— Zero-Inflated Hospital Compare Additive Model

## Usage
Refer to the usage examples "***real.sas***" to apply this macro.

## References
Liang, Yakun, Xuejun Jiang, and Bo Zhang. *Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach*. **IEEE Journal of Translational Engineering in Health and Medicine**. 2023 Mar 14;11:232-246. doi: 10.1109/JTEHM.2023.3257179. [[paper]](https://ieeexplore.ieee.org/document/10068535). PMID: [[37051048]](https://pubmed.ncbi.nlm.nih.gov/37051048/); PMCID: [[PMC10085625]](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085625/).