# The Importance of the Normality Assumption in Large Public Health Data Sets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-importance-of-the-normality-assumption-in-large-public-health-data-sets/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thomas Lumley,Paula Diehr,Scott S. Emerson,Lu Chen |
| Citations | 1,769 |
| DOI | 10.1146/annurev.publhealth.23.100901.140546 |
| Fields | Mathematics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2168991419 |
| PMID | 11910059 |
| Type | article |
| Year | 2002 |

## Paper authors

- [Scott S. Emerson](https://scholariq.org/researchers/scott-s-emerson/)

## Paper primary topic

- [Advanced Statistical Methods and Models](https://scholariq.org/topics/advanced-statistical-methods-and-models/)

## Paper topics

- [Advanced Statistical Methods and Models](https://scholariq.org/topics/advanced-statistical-methods-and-models/)
- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)
- [Statistical Methods in Clinical Trials](https://scholariq.org/topics/statistical-methods-in-clinical-trials/)

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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.