Early Stopping in Survival Studies Using Microarray Data
Author Information
Author(s): Leha Andreas, Beißbarth Tim, Jung Klaus
Primary Institution: University Medical Center Göttingen
Hypothesis
Can interim analyses in microarray experiments provide evidence for early stopping of long-term survival studies?
Conclusion
Interim analyses of microarray experiments can provide evidence for early stopping of long-term survival studies.
Supporting Evidence
- Interim analyses can lead to early stopping of studies, saving time and resources.
- The new estimator for power rates is comparable to existing methods.
- False discovery rates were maintained at pre-specified levels during interim analyses.
Takeaway
This study looks at how we can check results early in cancer research using gene data, which can help save time and resources.
Methodology
The study used simulations to evaluate false discovery rates and power rates in microarray experiments during interim analyses.
Potential Biases
Potential biases may arise from the choice of stopping criteria and the handling of multiple testing.
Limitations
The study's findings may not apply to all types of high-dimensional data or different study designs.
Participant Demographics
The study involved simulated data based on cancer patients, with a focus on breast cancer.
Statistical Information
P-Value
0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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