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Statsols (formerly known as Statistical Solutions) is the producer and distributor of the proprietary nQuery sample size software.
The analysis highlights History and Companies as prominent areas in the source structure around Statsols.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.
The extracted context around Statsols shows recurring relationship patterns in the source. For example, Statsols → BMDP, California, CEO Mary Byrne, In, Los Angeles, Originally, President, Sample Size Software, Statistical Solutions, Statistical Solutions Ltd, The, This, Through, University, Wilfrid Joseph Dixon Another extracted example is Statsols → nQuery Sample Size Software. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
nquery sample size software statistical known solutions company used distributor bmdp wilfrid joseph dixon now janet cedars-sinai widely pharmaceutical studies
TTTA extracted 16 structured relationships around Statsols. Examples in this analysis include Statsols → Products → nQuery Sample Size Software and Statsols → related to history → In. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Statsols | Products | nQuery Sample Size Software | 1.00 | infobox |
| Statsols | related to history | In | 0.60 | section |
| Statsols | related to history | Originally | 0.60 | section |
| Statsols | related to history | Statistical Solutions | 0.60 | section |
| Statsols | related to history | BMDP | 0.60 | section |
| Statsols | related to history | This | 0.60 | section |
| Statsols | related to history | Wilfrid Joseph Dixon | 0.60 | section |
| Statsols | related to history | University | 0.60 | section |
| Statsols | related to history | California | 0.60 | section |
| Statsols | related to history | Los Angeles | 0.60 | section |
| Statsols | related to history | Through | 0.60 | section |
| Statsols | related to history | President | 0.60 | section |
The concept neighborhoods around Statsols bring nearby vocabulary together. In this analysis, examples include Known, Solutions and Distributor. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Statsols, one of the stronger structural bridges in this analysis connects Statsols with NQuery Sample Size Software. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Statsols to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Statsols · EN edition · Analysis: TopicsToTalkAbout