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Cardio Pod: Heart of the Matter
Statistical Considerations in Heart Failure Research
Dec 22, 2022
Statistical experts Janet Wittes, Eric Leifer, Bill Abraham, and Mitchell Psotka discuss the complexities of Statistical Analytical Plans (S-TEMANs) in heart failure research, emphasizing the importance of clear definitions for accurate estimations. They highlight the need to go beyond P values, focusing on patient reported outcomes and confidence intervals to analyze clinical trial data and make informed decisions.
17:39
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Quick takeaways
- S-TEMAN aligns trial calculations with intended estimates, enhancing result interpretation.
- P-values need backing from estimated values and confidence intervals for comprehensive understanding.
Deep dives
Understanding S-TEMAN in Clinical Trials
S-TEMAN is a concept that ensures trials calculate numbers that represent a clear understanding of what they aim to estimate. In clinical trials focused on continuous outcomes like symptoms, the intended estimate and the calculated number can differ significantly. S-TEMAN serves as a disciplined approach to align study calculations with the actual targeted value in the population, offering a roadmap for precise interpretation of trial results.
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