Bonferroni refers to a method of adjustment for multiple comparisons in which the p value is divided by the number of tests. It is more conservative than many other such methods.
Questions tagged [bonferroni]
402 questions
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2 answers
Bonferroni Correction - When not to use it
In a discussion with another researcher, I was informed that it is not always necessary to perform a Bonferroni correction on exploratory research if a lot of testing is required (for example, if many questions are asked and ANOVAs are required for…
kp167
- 21
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Bonferroni corrections for multicollinear data
I am trying to do multiple ANOVA tests testing a single response against about 7 different explanatory variables in turn. Obviously, I need a Bonferroni correction here, but I'm unsure how to use it. The naive way would be to just use n=7 in…
Lewis Hein
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1 answer
Do I have to apply Bonferroni's correction here?
I'm conducting research on the treatment effect of tinnitus. Δ represents the pre-treatment to post-treatment change. ΔTHI yielded a p-value of 0.03, while the other p-values are above 0.5.
Now, should I apply the Bonferroni correction to assess…
wonderhow
- 21
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1 answer
Calculating number of tests in Bonferroni Correction
I understand that applying Bonferroni correction involves dividing alpha by number of tests performed. However, I am unsure about how I can determine the number of tests to divide by.
I have 6 IVs that are entered into a simultaneous equation to…
hrhy
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2
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1 answer
Please can somebody clarify p adjusted values ( via Bonferroni correction method)?
I am using metabolite data generated from LC-MS. I am making comparisons between two groups at a time, and need to account for Type 1 error and multiple comparisons, so I have utilized Bonferroni correction method. I am in R, the formula I have used…
user2259
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Multiple testing on the same dataset
I have a dataset with n = 76 independent test subjects (rows) and 3 dependent variables (columns) (which are related as a process taking place over time). For the example below I will assume I have two different conditions (condition 1 and condition…
tankenot
- 21
2
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1 answer
Correcting for multiple 2-way anova testings (each IV only has two levels)
I have two independent variables, both of them only have 2 levels (Story type: Homosexual vs. Heterosexual, and Stereotype: High vs. Low).
I run three two-way ANOVAS, to test the IVs' effects on three continuous dependent variables.
Now I need to do…
Yanyan Zhou
- 23
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DO I need Bonferroni correction for ANCOVA analysis repeated 10 times?
I have 2 groups, and are comparing them using T Test, and ANCOVA (with covariates), and am repeating this with 10 dependent variables (9 subtest scores and 1 overall test score. Do i have to use bonferroni correction for ANCOVA?
Help is much…
Sandra
- 21
2
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1 answer
Question about adjusting for multiple testing
I have a question about adjusting pvalues to account for multiple testing, as I need to do this given a small sample size with a lot of tests.
I have read that the most common and conservative method of controlling for the family-wise error rate is…
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1 answer
Bonferroni correction for gene functional category enrichment
I have performed a clustering on 20K genes, and I want to understand how coherent resulting clusters are by calculating the significance of the overlap of the clusters with a number of known GO gene categories. I use hypergeometric p-values for this…
user5054
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Bonferroni application
My dataset compares the impact of 2 shoes at 3 speeds on a dependant variable. When it comes to post hoc pairwise testing I would look at
shoe1 vs shoe2 at every speed
speed 1 vs speed 2; speed 2 vs speed 3; speed 3 vs speed 1 for each shoe
Would…
PlebHawkDown
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2 answers
Bonferroni correction: elementary question: when do I reject?
Question practically rewritten as from some answers&comments became clear that I am not understanding the semantics and context.
The "procedure" for Bonferroni is clear to me, my problem is a wrong and/or partial understanding of its semantics and…
user110848
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SPSS-independent-sample-t-test
I want to test mean differences between 4(0,1,2,3) groups for 6 different cell-types. In other words, I would have 6 comparisons to do for each cell-type (0-1,0-2,0-3,1-2,1-3,2-3). I have run a repeated-measures ANOVA before but it only gives me the…
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Bonferroni correct Application
This might be a super simple question but I cant seem to find an answer. The issue I am comparing 2 shoes at 3 speeds and their impact on a dependant variable. Therefore lets say shoe1/speed1 = A; shoe2/speed1 = B; shoe1/speed2 = C; shoe2/speed2 =…
PlebHawkDown
- 21
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Bonferroni correction vs Adjusted Bonferroni p value
In R, we can use the following options for POST HOC, with Bonferroni P value
summary(glht(fit, linfct=mcp(variable="Tukey")),test=adjusted("Bonferroni"))
Based on my understanding the Bonferroni correction is alpha divided by the number of…
user178953
- 73