# High statistical heterogeneity is more frequent in meta-analysis of continuous than binary outcomes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/high-statistical-heterogeneity-is-more-frequent-in-meta-analysis-of-continuous/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ana Carolina Alba,Paul Alexander,Joanne Chang,John MacIsaac,Samantha DeFry,Gordon Guyatt |
| Citations | 144 |
| DOI | 10.1016/j.jclinepi.2015.09.005 |
| Fields | Decision Sciences,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1937285662 |
| PMID | 26386323 |
| Type | review |
| Year | 2015 |

## Paper authors

- [Ana Carolina Alba](https://scholariq.org/researchers/ana-carolina-alba/)

## Paper journal

- [Journal of Clinical Epidemiology](https://scholariq.org/journals/journal-of-clinical-epidemiology/)

## Paper primary topic

- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)

## Paper topics

- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)
- [Delphi Technique in Research](https://scholariq.org/topics/delphi-technique-in-research/)
- [Reliability and Agreement in Measurement](https://scholariq.org/topics/reliability-and-agreement-in-measurement/)

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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.