What are the limitations of sequential testing?
Sequential testing has several limitations, including potential biases, increased complexity, and the need for continuous monitoring.
Can you explain how biases can affect the results?
Sure! Biases can arise if the testing process is not properly randomized or if the stopping criteria are influenced by prior results.
What about the complexity aspect?
The complexity comes from the need to adjust sample sizes and analyze data continuously, which can be resource-intensive.
Are there any specific scenarios where sequential testing is not recommended?
Yes, it's generally not recommended in situations where the cost of data collection is high or when quick decisions are critical.
How can I mitigate these limitations in practice?
You can mitigate limitations by ensuring proper randomization, using robust statistical methods, and clearly defining your stopping rules.
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