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StatsDirect is a statistical software package designed for biomedical, public health, and general health science uses. The second generation of the software was reviewed in general medical and public health journals.
Applications & Science
Explore the main themes, entities and connections around StatsDirect. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| StatsDirect | Developer | StatsDirect Ltd | 1.00 | infobox |
| StatsDirect | License | proprietary | 1.00 | infobox |
| StatsDirect | Operating system | Windows | 1.00 | infobox |
| StatsDirect | Stable release | Ver. 3.2.7 / May 30, 2019; 7 years ago (2019-05-30) | 1.00 | infobox |
| StatsDirect | Type | Statistical analysis | 1.00 | infobox |
| StatsDirect | Website | www.statsdirect.com | 1.00 | infobox |
| StatsDirect | is a | statistical software package designed for biomedical | 0.90 | text |
| StatsDirect | related to External links | StatsDirect Home | 0.60 | section |
| StatsDirect | related to Features and use | StatsDirect's | 0.60 | section |
| StatsDirect | related to Features and use | The | 0.60 | section |
| StatsDirect | related to Features and use | XML-based | 0.60 | section |
| StatsDirect | related to Features and use | NET | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.