What are the main challenges in sequential testing?

What are the main challenges in sequential testing?

Sequential testing involves challenges like sample size determination, bias control, and managing Type I and Type II errors.

Can you explain how bias can affect sequential testing results?

Bias can lead to incorrect conclusions by skewing the results, making it seem like a treatment is effective when it isn't.

What strategies can be used to minimize bias in these tests?

Strategies include randomization, blinding, and using control groups to ensure that results are not influenced by external factors.

Are there specific statistical methods for analyzing sequential test data?

Yes, methods like the Wald Sequential Probability Ratio Test (SPRT) and Bayesian approaches are commonly used.

How do you determine the appropriate sample size for sequential testing?

Sample size can be determined using power analysis, considering the expected effect size and the desired significance level.