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add statistical tests in GC in FAQ #10199

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merged 1 commit into from Jun 12, 2023
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add statistical tests in GC in FAQ #10199

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14 changes: 13 additions & 1 deletion docs/user-guide/faq.md
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Expand Up @@ -20,6 +20,7 @@
* [What is a Virtual Study?](/user-guide/faq.md#what-is-a-virtual-study)
* [Is it necessary to log in to use virtual studies? If I do log in, what additional functionality do I gain?](/user-guide/faq.md#is-it-necessary-to-log-in-to-use-virtual-studies-if-i-do-log-in-what-additional-functionality-do-i-gain)
* [What is Group Comparison?](/user-guide/faq.md#what-is-group-comparison)
* [What are the statistical significance tests in Group Comparison?](/user-guide/faq.md#what-are-the-statistical-significance-tests-in-group-comparison)
* [Data Questions](/user-guide/faq.md#data-questions)
* [General Data](/user-guide/faq.md#general-data)
* [Does the portal contain cancer study X?](/user-guide/faq.md#does-the-portal-contain-cancer-study-x)
Expand Down Expand Up @@ -137,7 +138,18 @@ No. A user that has not logged in can create virtual studies and run queries in
If you log in, you gain the ability to save your virtual study to the list of existing studies on the homepage. This makes a virtual study functionally the same as any other study: you can access your virtual studies in the query builder and you can combine an existing virtual study with any other study to create a new virtual study.
#### What is Group Comparison?
Group Comparison is a suite of analysis features which allows a user to compare clinical or genomic features of user-defined groups of samples. These groups can be defined based on any clinical or genomic features. For an overview, see [our tutorial on group comparison](https://www.cbioportal.org/tutorials).

#### What are the statistical significance tests in Group Comparison?
- Survival tab: Log-rank test
- Clinical tab:
- Continuous data: Chi-squared test
- Categorical data: Kruskal Wallis test
- Other tabs
- 2 groups
- Continuous data: one-sided t-test
- Categorical data: one-sided Fisher's exact test
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we have a ticket to update these, so need to remember to update the FAQ after: #9943

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@inodb inodb May 26, 2023 •
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added it to the ticket #9943

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@jjgao jjgao Jun 7, 2023 •
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@inodb @dippindots should we merge this and update it later as part of #9943?

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Yes, sounds good. I will merge this one and update it later

- 3 or more groups
- Continuous data: one-way ANOVA
- Categorical data: Chi-squared test

## Data Questions
### General Data
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