Biostatistics, Clinical Data Science and Trial Analytics
Biostatistics provides the scientific foundation for designing, analyzing, and interpreting clinical research and trial data. This session will explore advanced approaches to clinical study design, statistical analysis, sample size determination, and data interpretation. Participants will gain insights into the use of clinical data science for managing and analyzing large and complex research datasets. The session will highlight applications of predictive analytics, statistical modeling, machine learning, and data visualization in clinical trials. Experts will discuss strategies for improving data quality, trial efficiency, endpoint analysis, and evidence generation. Emerging methods for handling real-world data, missing data, longitudinal outcomes, and complex clinical datasets will also be explored. The track will address the importance of reproducibility, data integrity, transparency, and scientifically sound statistical methodologies.
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Biostatistics, Clinical Data Science and Trial Analytics Conference Speakers
Recommended Sessions
- Advanced Clinical Research and Innovative Trial Methodologies
- Artificial Intelligence and Machine Learning in Clinical Trials
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- Decentralized, Virtual and Hybrid Clinical Trials
- Digital Health Technologies and Remote Patient Monitoring
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