# Modeling zero‐modified count and semicontinuous data in health services research Part 1: background and overview

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/modeling-zero-modified-count-and-semicontinuous-data-in-health-services-research/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Brian Neelon,A. James O’Malley,Valerie A. Smith |
| Citations | 119 |
| DOI | 10.1002/sim.7050 |
| Fields | Mathematics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2490952171 |
| PMID | 27500945 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Valerie A. Smith](https://scholariq.org/researchers/valerie-a-smith/)

## Paper primary topic

- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)

## Paper topics

- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)
- [Statistical Methods and Inference](https://scholariq.org/topics/statistical-methods-and-inference/)
- [Advanced Causal Inference Techniques](https://scholariq.org/topics/advanced-causal-inference-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.