Related Experiment Video
Updated: Jul 12, 2026

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
Published on: October 13, 2018
Bonferroni parallel gatekeeping - transparent generalizations, adjusted p -values, and short direct proofs.
1AstraZeneca R&D, S-15185 Södertälje, Sweden. olivier.guilbaud@astrazeneca.com
This study generalizes the Bonferroni parallel-gatekeeping multiple-testing procedure (MTP). It allows for flexible MTPs in the second step and introduces a third step for enhanced hypothesis rejection power.
Area of Science:
- Statistics
- Biostatistics
- Statistical Methods
Background:
- The Bonferroni parallel-gatekeeping multiple-testing procedure (MTP) uses a family of hypotheses (F1) to gatekeep another family (F2).
- The standard two-step procedure involves Bonferroni MTP for F1 and Holm's MTP for F2.
Purpose of the Study:
- To generalize the two-step Bonferroni parallel-gatekeeping MTP.
- To introduce a modified parallel gatekeeping procedure with an additional third step.
Main Methods:
- Generalization of the two-step MTP by allowing any MTP with multiplicity-adjusted p-values in the second step.
- Development of a third step for modified Bonferroni parallel gatekeeping, enabling further rejections in F1 if F2 hypotheses are all rejected.
Main Results:
- The generalized procedures maintain multiple-level alpha control.
- Proofs are direct and do not rely on closed-testing arguments.
- Multiplicity-adjusted p-values are readily calculable for the proposed MTPs.
Conclusions:
- The proposed generalized Bonferroni parallel-gatekeeping MTPs offer flexibility and enhanced power.
- These methods are straightforward to extend to multiple successive gatekeeper families.
- The procedures are illustrated with a practical example.
Related Concept Videos
Bonferroni Test
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Theorems of Pappus and Guldinus
For finding the surface area, consider a differential line element that generates a ring with surface area dA when revolved.
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance, comparing...
Friedman Two-way Analysis of Variance by Ranks
