Haybittle–Peto boundary and Sequential analysis

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Haybittle–Peto boundary and Sequential analysis

Haybittle–Peto boundary vs. Sequential analysis

The Haybittle–Peto boundary is a rule for deciding when to stop a clinical trial prematurely. In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance.

Similarities between Haybittle–Peto boundary and Sequential analysis

Haybittle–Peto boundary and Sequential analysis have 2 things in common (in Unionpedia): Pocock boundary, Stopping time.

Pocock boundary

The Pocock boundary is a method for determining whether to stop a clinical trial prematurely.

Haybittle–Peto boundary and Pocock boundary · Pocock boundary and Sequential analysis · See more »

Stopping time

In probability theory, in particular in the study of stochastic processes, a stopping time (also Markov time) is a specific type of “random time”: a random variable whose value is interpreted as the time at which a given stochastic process exhibits a certain behavior of interest.

Haybittle–Peto boundary and Stopping time · Sequential analysis and Stopping time · See more »

The list above answers the following questions

What Haybittle–Peto boundary and Sequential analysis have in common
What are the similarities between Haybittle–Peto boundary and Sequential analysis

Haybittle–Peto boundary and Sequential analysis Comparison

Haybittle–Peto boundary has 7 relations, while Sequential analysis has 43. As they have in common 2, the Jaccard index is 4.00% = 2 / (7 + 43).

References

This article shows the relationship between Haybittle–Peto boundary and Sequential analysis. To access each article from which the information was extracted, please visit:

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