PDA Technical Glossary
PDA Technical Reports are highly valued membership benefits because they offer expert guidance and opinions on important scientific and regulatory topics and are used as essential references by industry and regulatory authorities around the world. These reports include terms which explain the material and enhance the reader’s understanding.
The database presented here includes the glossary terms from all current technical reports. The database is searchable by keyword, topic, or by technical report. Each definition provided includes a link to the source technical report within the PDA Technical Report Portal.
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Algorithm Bias
Systematic and consistent errors in AI algorithm outcomes, caused by biases in training data, potentially leading to unfair or discriminatory results.
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Bias-Variance Tradeoff
The challenge of balancing model complexity to avoid underfitting and overfitting, ensuring optimal predictive performance. A highly complex model may capture noise (high variance), while a simplistic model may fail to learn key patterns (high bias).
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Big Data
Extremely large and complex datasets that require advanced processing methods. In pharmaceuticals, big data applications include identifying patient subpopulations for particular drug therapies, optimizing manufacturing processes, and predicting safety or regulatory risks.