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Bias Glossary Contribution Guide
Before contributing, please review the current content of the Bias Glossary for the MIMIC IV database to ensure the concept you wish to add does not already exist. If it is not present, you are encouraged to create new entries. You can also suggest additions/changes to Biases that are already described.
Short description of the New Bias. If you are suggesting additions to an existing Bias, you are welcome to use the same title.
Specify the type of bias, such as participants not missing at random, validity of data points, data not missing at random, or miscellaneous. Please see “The Bias Glossary initial categories” for a more detailed description
Provide a concise summary, typically one or two sentences. This will be the description of your Bias on the Bias Glossary index page.
Explain what the bias entails, the affected subgroups, and any related disparities, how it was identified, and its possible implications for both immediate and long-term outcomes.
Include relevant and searchable keywords to improve the visibility and discoverability of the entry.
Provide references to studies, code notebooks. or other sources that support the descriptions and claims made in the entry. This helps in validating the information and guiding further reading.
Thoroughly review the entry for accuracy and completeness before publishing.
A MIT Critical Data Original Production
MIT Critical Data
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- What Is The Data Artifacts Glossary Ultimate Goal?
- What Problem Does The Data Artifacts Glossary Solve?
- What Design Principles Underlie The Data Artifacts Glossary
- How Does The Data Artifacts Glossary Accomplish Its Goals?
- The Data Artifacts Glossary Initial Categories